RU2604999C2 - Method and system for making recommendations regarding applications for user - Google Patents

Abstract

FIELD: information technology.

SUBSTANCE: invention relates to means for offering an application for downloading by the user performed on a server connected to the user electronic device via a communication channel. Obtained is at least one parameter of a particular user; a starting signal is transmitted as an instrument for excitation of the electronic device to provide visual recommendations upon applications potentially recommended for downloading onto the electronic device in response to a potentially recommended application. Obtained is at least one parameter of a specific application associated with the potentially recommended application. Determined is a contextual compliance for the user of the recommended application based on a combination of at least one parameter of the user and at least one parameter of the specific application.

EFFECT: technical result is higher accuracy of presenting a required for downloading application.

38 cl, 8 dwg

Description

CROSS REFERENCES

[0001] No

FIELD OF TECHNOLOGY

[0002] This technology relates to a method and system that provides recommendations to the user on the application.

BACKGROUND

[0003] There are hundreds of thousands of applications available for installation on electronic devices such as smartphones, tablets and other digital electronic devices, and more are released every day. When a device is first purchased, it usually includes a small set of pre-installed applications selected by the manufacturer and / or supplier of the device. If the device user wants to use any other additional application that is not included in the number of pre-installed applications, it is assumed that the user must purchase and install each additional application.

[0004] Installation methods for these applications have changed significantly in recent years. In the past, applications were typically distributed on computer-readable removable media, such as a floppy disk or CD-ROM, and installed on the device using a drive. As high-speed Internet is spreading more and more widely, installation of applications is increasingly carried out by copying them from a web server and installing the program on the device itself. For some devices running on newer foundations, users can now buy and install applications from online repositories such as APPLE′S APP STORE, GOOGLE PLAY, and YANDEX. STORE.

[0005] When a user accesses a typical online repository, such as, say, APPLE′S APP STORE, the user is provided with many application options for copying and installing. Providers of existing online storage have attempted to streamline user experience when browsing downloadable applications. For example, in APPLE′S APP STORE, a search function has appeared that allows the user to search for applications. However, the search function is only partially useful, because in order to search for an application, the user must know the name of the application that the user wants to download. APPLE′S APP STORE also offers a chart in which leading applications are presented, either distributed by popularity, i.e. by the number of downloads, or by "profit". APPLE′S APP STORE also offers a featured app feature that provides a list of featured apps. As a rule, recommended applications are divided into several categories, such as "best new applications", "best new games", "own development", etc.

[0006] US patent 7,849,080 discloses a system for generating requests for offers by integrating the estimated proposals for requests with experimental proposals for requests using networks of users and advertisers. The system may include memory, an interface, and a processor. The memory can store data on past requests, a lot of offers on requests, a lot of values of offers on requests, a set of used requests, a set of test requests and data on a computer network description. A processor can determine a plurality of query proposals from data from past requests and generate computer network descriptions based on data from past requests. The processor can calculate request offer values for each offer request, and can classify request offers based on request offer values. The processor can generate a set of used requests containing the top positions of the classification of offers according to requests and examine the set containing the remainder. The processor may recommend query suggestions from the set of used queries and the set of probe requests.

[0007] US Pat. No. 8,370,329 discloses a system in which suggested search results are provided with search query requests, according to how a user sequentially enters search query characters. For each additional user input, a corresponding part of the request is received, and requests for search offers are identified based on the part of the request. Proposed search results related to search query requests can also be identified. Suggested search results provide direct navigation to websites related to search results. In some embodiments of the technology, the history of user searches is analyzed to determine the search results selected by the user for search query requests. In other embodiments of the technology, the search for query history for a group of users associated with the user will be analyzed to determine the proposed search results in order to provide requests for search suggestions.

[0008] US Patent Application 2011/0093415 discloses hardware and a content recommendation method. Hardware recommendations on the content can record information about the user’s user history from his personal communication terminal, from where a web browser service or mobile communication is possible. User history information can be used to create preferences about user preferences. Based on the preference information, the content can be recommended to the user through a display based on the type of content category so that different types of contents are visually different on the display.

[0009] US Patent Application 2004/0168190 discloses a methodology for creating empirical user media services in an information system, including several information content databases, information service users, information content parameters and user profile parameters, and a rule base for applying impulses to a test group users to provide information incentives. A descriptive database of user reactions is created in the system. Metadata files for the information service for the user and the content of the information service are created by comparing the actual parameters that describe the user and the content of the information service with the theoretical parameters included in the rule base. Possible reactions of user interaction and the content of the information service are indicated, after which the desired reaction is selected among the possible reactions. The content of the information service is modified to provide the user in order to achieve the desired response.

[0010] PCT Patent Publication WO 2000/028427 discloses a system and method for determining and using psychographic information to better suit the user's interests in products and services. Psychographic information is information about a person’s personality. This information can interact with the object to note which personality traits are more common among people who are or not, but are likely to be interested in this object. The system supports two types of profiles: user profiles (216) and object profiles (214). The user profile (216) contains psychographic information showing the correspondence, or lack thereof, between the user and various personality traits. Similarly, the profile of the object (214) describes the personal characteristics of users who are interested, or not interested, in this object. These profiles can be linked to levels of reliability, to identify character traits that are most common in profiles.

[0011] Application for US patent 2010/0274848 discloses a method of providing a client on a mobile device with the content of objects located on the server; the server will be able to communicate with the client through communication networks, including the following steps: a) transmitting the first request to the list of content recommendations from the client to the server; b) generating the first part of the list of recommendations for content, including several entries from the list of recommendations for content, in a sequence on the server, ordered depending on the user's feedback profile, each entry in the list of recommendations for content represents the contents of the object; c) the transfer of the first part of the list of content recommendations from the server to the client; d) providing a visual presentation of the entries in the list of content recommendations made in the first part of the list of content recommendations through the user interface of the client, each of the entries can be selected and arranged so that for each entry feedback can be established with the user and relevant information about the user feedback Communication sent to the server; and e) expanding the partially transmitted list of content recommendations on the server by creating a second part of the content recommendation list containing a plurality of additional content recommendation list entries based on information from user feedback.

[0012] US patent application 2011/0225496 discloses a method and system for creating proposed file lists for users. In some technology implementations, such lists can be created automatically for users, the proposed file lists for users being created based on one or more user selection criteria or preferences, including local and / or remote parts of the material.

SUMMARY OF THE INVENTION

[0013] The present technology aims to eliminate at least some of the inconveniences present in the prior art.

[0014] In general, technology implementation options provide a way to personalize recommendations for downloading applications specifically designed for a given user. More specifically, embodiments of this technology comprise an estimate of (i) a parameter defining a particular user and (ii) a parameter of a particular application. To evaluate the parameters of a specific user, the following factors can be analyzed (at least one of them): the frequency of use of certain applications in the past; categories of frequently used applications; geo-information about the user / location of the user / routes of the user (various levels of geo-information can be analyzed - from simple geographical coordinates to assessing the type of institution where the user is located, the frequency of the user's stay in the institution, time frames, etc.). In accordance with the options for implementing this technology, the history of search queries related to the user can also be analyzed. In accordance with the options for implementing this technology, the data of various sensors associated with a smartphone (for example, a pressure sensor, accelerometer, etc.) can be further analyzed.

[0015] To determine the parameters of specific applications, the following can be analyzed (at least one of them): application category; labeling applications; user feedback.

[0016] Based on a combination of a parameter defining a specific user and a parameter defining a specific application, a contextually corresponding application for that user is determined. Notification to the user about the download of this application is provided. In addition, contextually relevant applications may already be identified, and instructions may be provided for the use of such contextually relevant applications.

[0017] In accordance with a first major aspect of this technology, a method for recommending a user to download applications is provided, wherein the user is associated with an electronic device. The method is implemented on a server, which is connected through a communication channel to an electronic device. The method includes: evaluating at least one parameter of a particular user; evaluating at least one parameter of a particular application associated with a potentially recommended application; based on a combination of at least one parameter of a specific user and at least one parameter of a specific application, determining whether a potentially recommended application is contextually appropriate for the user; in response to a potentially recommended application that is contextually appropriate for the user, transmitting a start signal to an electronic device, while the start signal serves as a means of prompting the electronic device to provide visual advice for downloading a potentially recommended application. The method according to claim 1, characterized in that at least one parameter of a particular user indicates at least one of: (i) user interaction in the past with another application, (ii) user interaction in the past with a search engine; (iii) the geographic location of the user; (iv) data associated with at least one sensor of an electronic device.

[0018] In some embodiments of the technology, at least one particular user parameter indicates two or more of: (i) past user interaction with another application, (ii) past user interaction with the search engine; (iii) the geographic location of the user; (iv) data associated with at least one sensor of an electronic device.

[0019] In some implementations of the technology, the step of evaluating at least one particular user parameter indicating a user's geographic location comprises evaluating a user's geographic location from a GPS device embedded in the electronic device.

[0020] In some embodiments of the technology, the step of evaluating at least one parameter of a particular user that characterizes data associated with at least one sensor of the electronic device includes receiving data from the electronic device.

[0021] In some embodiments of the method, the step of evaluating a user's interaction in the past with one of other applications includes obtaining a history of user interaction using an electronic device.

[0022] In some embodiments of the technology, the step of evaluating past user interactions with the search engine includes receiving a user search query history from a search engine server based on a user search query history defining at least one search target.

[0023] In some embodiments of the technology, the method further includes determining contextual information associated with the user based on at least one parameter of the particular user.

[0024] In some embodiments of this technology, the method further includes determining a potentially recommended application as contextually appropriate for the user based on contextual information associated with the user.

[0025] In some embodiments of this method, at least one parameter of the specific application is the first parameter of the specific application, and the method further includes: determining a second parameter of the specific application associated with the installed potentially recommended application; and based on a combination of at least one specific user parameter and a second specific application parameter, determining whether the application potentially recommended for installation is contextually appropriate for the user; in response to a potentially recommended application for installation, which is contextually relevant for the user, a trigger signal, which is an additional tool to encourage the electronic device to provide visual recommendations on applications that are potentially recommended for installation.

[0026] In some implementations of this method, visual recommendations for downloading potentially recommended applications and visual recommendations for using applications potentially recommended for installation are provided as an integral part of the user interface.

[0027] In some implementations of this method, the step of evaluating at least one parameter of a particular application associated with a potentially recommended application includes analyzing reviews of other users associated with the potentially recommended application.

[0028] In some embodiments of this method, the analysis step includes the application of a machine learning algorithm.

[0029] In some embodiments of the method, the analysis step includes creating an annotation of the application having a predetermined format.

[0030] In some embodiments of the method, at least one parameter of a particular user comprises a plurality of parameters of a particular user.

[0031] In some embodiments of the technology, at least one parameter of a particular application comprises a plurality of parameters of a particular application.

[0032] According to another main aspect of this technology, a method for recommending a download application to a user is provided, wherein the user is associated with an electronic device. This method is an executable file in an electronic device. This method includes: evaluating at least one parameter of a particular user; evaluating at least one parameter of a particular application associated with a potentially recommended application; determining whether a potentially recommended application is contextually appropriate for the user based on a combination of at least one parameter of a particular user and at least one parameter of a specific application; in response to a potentially recommended application for installation, which is contextually relevant for the user, displaying on the electronic device screen a visual recommendation for downloading a potentially recommended application.

[0033] In some embodiments of the method, at least one particular user parameter indicates at least one of: (i) past user interaction with another application, (ii) past user interaction with the search engine; (iii) the geographic location of the user; (iv) data associated with at least one sensor of an electronic device.

[0034] In some embodiments of the method, at least one particular user parameter indicates two or more of: (i) past user interaction with another application, (ii) past user interaction with the search engine; (iii) the geographic location of the user; (iv) data associated with at least one sensor of an electronic device.

[0035] In some embodiments of the method, the step of evaluating at least one particular user parameter indicative of a user's geographic location comprises evaluating a user's geographic location from a GPS device embedded in the electronic device.

[0036] In some embodiments of the method, the step of evaluating at least one particular user parameter indicative of data associated with at least one sensor of the electronic device includes evaluating data from the at least one sensor.

[0037] In some implementations of this method, the step of evaluating a user's past interaction with one of the other applications includes evaluating a user's interaction history.

[0038] In some embodiments of this method, the step of evaluating past user interactions with the search engine includes receiving a user search query history from the search engine server and at least one search target based on the user search query history

[0039] In some embodiments of the method, the method further includes determining contextual information associated with the user based on at least one parameter of the particular user.

[0040] In some embodiments of the method, the method further includes determining a potentially recommended application that is contextually appropriate for the user based on contextual information associated with the user.

[0041] In some embodiments of the method, at least one parameter of the particular application is the first parameter of the specific application, and the method further includes: determining a second parameter of the specific application associated with the application potentially recommended for installation; and determining whether the potentially recommended application is contextually appropriate for the user based on a combination of at least one specific user parameter and a second specific application parameter; in response to a potentially recommended installation application that is contextually relevant to the user, providing visual advice on an application potentially recommended for installation.

[0042] In some embodiments of the method, a visual recommendation for downloading a potentially recommended application and a visual recommendation for an application potentially recommended for installation are provided as an integral part of the user interface.

[0043] In some embodiments of this method, evaluating at least one parameter of a particular application associated with a potentially recommended application includes analyzing feedback from other users associated with the potentially recommended application.

[0044] In some embodiments of this method, the analysis step includes the application of a machine learning algorithm.

[0045] In some embodiments of the method, the analysis step includes creating an annotation of the application having a predetermined format.

[0046] According to another main aspect of the technology, a method for recommending a download application to a user is provided, wherein the user is associated with an electronic device. This method is an executable file on a computing device. This method includes: evaluating at least one parameter of a particular user; evaluating at least one parameter of a particular application associated with a potentially recommended application; determining whether a potentially recommended application is contextually appropriate for the user based on a combination of at least one parameter of a particular user and at least one parameter of a specific application; in response to a potentially recommended application that is contextually relevant to the user, instructing the electronic device associated with the user to provide visual advice related to the potentially recommended application.

[0047] In some implementations of this method, the potentially recommended application is some new application that is intended to be downloaded to an electronic device and for which a visual recommendation is a download recommendation.

[0048] In some implementations of this method, the potentially recommended application is some already downloaded application that resides on an electronic device and for which a visual recommendation is a usage recommendation.

[0049] In some embodiments of the method, the computing device is an electronic device.

[0050] In some embodiments of the method, the computing device is a server communicatively connected to the electronic device via a communication network.

[0051] According to another main aspect of the technology, a server is provided comprising: a communication interface for communicating with an electronic device via a communication network, a processor operably connected to a communication interface, the processor is configured to: evaluate at least one parameter of a particular user; evaluating at least one parameter of a particular application associated with a potentially recommended application; determining whether a potentially recommended application is contextually appropriate for the user based on a combination of at least one parameter of a particular user and at least one parameter of a specific application; in response to a potentially recommended application that is contextually relevant to the user, transmitting a trigger signal to the electronic device, which is a tool to encourage the electronic device to provide visual recommendations for applications that are potentially recommended for download.

[0052] According to another main aspect of the technology, an electronic device is provided, comprising: an input user interface for receiving input from a user; an output user interface for providing at least one of the visual and audio outputs to the user; network communication interface for two-way communication over a communication network; and a processor connected to an input user interface, an output user interface, and a network communication interface, the processor is configured to have access to machine-readable instructions that, when executed, cause the processor to execute the program as suggested by the application as recommendations of the application to the user for downloading via the output user interface, additionally executed instructions that prompt the processor to: evaluate at least one parameter of a particular user; evaluating at least one parameter of a particular application associated with a potentially recommended application; determining whether a potentially recommended application is contextually appropriate for a user based on a combination of at least one parameter of a particular user and at least one parameter of a specific application; in response to a potentially recommended application that is contextually relevant to the user, providing the user interface with a visual recommendation to download a potentially recommended application.

[0053] According to another basic aspect of the technology, an electronic device is provided, comprising: an input user interface for receiving input from a user; an output user interface for providing at least one of the visual and audio outputs to the user; network communication interface for two-way communication over a communication network; and a processor connected to an input user interface, an output user interface, and a network communication interface, the processor is configured to have access to machine-readable instructions that, when executed, cause the processor to execute the program as suggested by the application as recommendations of the application to the user for downloading via the output user interface, additionally executed instructions that prompt the processor to: evaluate at least one parameter of a particular user; evaluating at least one parameter of a particular application associated with a potentially recommended application; determining whether a potentially recommended application is contextually appropriate for the user based on a combination of at least one parameter of a particular user and at least one parameter of a specific application; in response to a potentially recommended application that is contextually relevant to the user, instructing the electronic device associated with the user to provide visual advice to the potentially recommended application.

[0054] In the context of this technology description, unless otherwise provided specifically, a “server” is a computer program running on appropriate equipment and capable of receiving requests (for example, from client devices) over a network that makes these requests or causes these requests to be executed. . The equipment can be one physical computer or one physical computer system, but this is not essential in relation to this technology. In this context, the use of the expression “server” should not mean that every task (for example, receiving an instruction or request) or receiving any specific task will be performed or cause execution by the same server (i.e. by the same software and / or equipment); this should mean that any number of software or hardware elements may be involved in receiving / sending, executing, or being the reason for carrying out any task or application, or the consequences of any task or application; and all this software and hardware can be one or more servers, both of which are included in the expression “at least one server”.

[0055] In the context of this technology description, unless otherwise specifically provided, a “client device” is any computer equipment that is capable of executing suitable software to solve an immediate problem. Thus, some (non-limiting) examples of client devices include computers (desktops, laptops, netbooks, etc.), smartphones and tablets, and network equipment such as routers, switches, and gateways. It should be noted that for a device operating as a client device in this context, its functioning as a server for other client devices is not ruled out. The use of the expression “client device” does not exclude the use of multiple client devices to receive / send, execute, or call to perform any task or application, or a sequence of any tasks or applications, or steps of any method described herein.

[0056] In the context of this technology description, unless otherwise specifically provided, a "database" is any structured data set, regardless of its specific structure, database management software, or computer equipment on which data is stored, implemented, and so on. or otherwise available for use. The database can be located on the same equipment as the process that stores and uses the information contained in the database, or it can be located on separate equipment, such as dedicated servers or multiple servers.

[0057] In the context of this technology description, unless expressly provided otherwise, the expression "information" includes information of any nature or kind suitable for storage in a database. Thus, information includes, but is not limited to, audiovisual works (images, films, sound recordings, presentations, etc.), information (location data, numerical data, etc.), text (opinions, comments, questions, messages, etc.), documents, spreadsheets and more.

[0058] In the context of this technology description, unless otherwise specifically provided, the purpose of the expression "component" is to include software (appropriate to the specific context of the equipment), which is both necessary and sufficient to achieve specific functionality ( ) to which they refer.

[0059] In the context of this technology description, unless expressly provided otherwise, the expression "storage medium for information used by a computer" is intended to include storage devices of any nature or kind, including RAM, ROM, disks (CD-ROM, DVD- disks, floppy disks, hard drives, etc.), USB drives, solid state drives, tape drives, etc.

[0060] In the context of this description of the technology, unless otherwise specifically provided, the words "first", "second", "third", etc. are used as adjectives only for the purpose of taking into account differences between nouns that differ from each other, and not for the purpose of describing specific relationships between these nouns. So, for example, it should be understood that the use of the terms “first server” and “third server” does not imply any order, type, chronology, hierarchy or rating (for example) from / among servers, nor their use (by itself) , but is intended to determine that any "second server" must be present in any given situation. In addition, as already discussed in this document in other contexts, reference to the “first” element and the “second” element does not exclude the presence of two elements in the same physical element from the real world. So, for example, in some cases, the "first" server and the "second" server can be the same software and / or hardware, in other cases, they can be different software and / or hardware.

[0061] Each of the implementations of this technology has at least one of the above objects and / or aspects, but not necessarily all of them. It should be understood that some aspects of this technology that have led from attempts to achieve the above-mentioned object may not satisfy this object and / or may satisfy other objects not specifically listed in this document.

[0062] Additional and / or alternative features, aspects and advantages of implementing this technology will become apparent from the following description, accompanying drawings, and the attached claims.

BRIEF DESCRIPTION OF THE DRAWINGS

[0063] For a better understanding of this technology, as well as its other aspects and additional features, reference is made to the following description, which should be used in conjunction with the accompanying drawings, where:

[0064] FIG. 1 is a schematic diagram of a system 100 implemented in accordance with an embodiment of the present technology.

[0065] FIG. 2 is a block diagram of a non-limiting embodiment of hardware components of an electronic device 130 of system 100 of FIG. one.

[0066] FIG. 3 illustrates a screenshot of one of the screens 300 of the electronic device 102 of FIG. 1, a screenshot 300 shows a plurality of applications 104 running on an electronic device 102.

[0067] FIG. 4, a screen shot 400 is shown, a screen shot 400 depicting a program output as proposed by application 108, the program as proposed by application 108 is executed in accordance with a non-limiting embodiment of the present technology.

[0068] In FIG. 5, a screen shot 500 is illustrated, a screen shot 500 depicting a program exit as proposed by application 108, the program as proposed by application 108 is executed in accordance with another non-limiting embodiment of the present technology.

[0069] In FIG. 6, a screen shot of 600 is illustrated, a screen shot of 600 showing the program output as proposed by application 108, the program as proposed by application 108 is executed in accordance with another non-limiting embodiment of the present technology.

[0070] FIG. 7, a screen shot of 700 is illustrated, a screen shot of 700 depicting a program output as proposed by application 108, the program as proposed by application 108 is executed in accordance with another non-limiting embodiment of the present technology.

[0071] FIG. 8 is a flowchart of method 800; method 800 is executed in system 100 of FIG. 1, method 800 is implemented in accordance with non-limiting embodiments of the present technology.

DETAILED DESCRIPTION OF THE INVENTION

[0072] Referring to FIG. 1, where a diagram of a system 100 is depicted, system 100 is suitable for implementing non-limiting technology implementations. It should be clearly understood that the system 100 is depicted only as an illustrative implementation of the present technology. Thus, the description of the following is intended to be used only as a description of illustrative examples of the present technology. This description is not intended to determine the scope or scope of this technology. In some cases, which is believed to be useful, examples of modifications to system 100 will also be set forth below. This is done only as an aid to understanding, and, again, not to determine the scope or setting the scope of this technology. These modifications do not define an exhaustive list, and as one skilled in the art understands, other modifications are probably also possible. Additionally, where this has not been done (i.e. where examples of modifications have not been stated), this should not be interpreted as if modifications are not possible and / or what is described is the only way to implement this element in accordance with this technology. As is clear to a person skilled in the art, most likely this is not so. In addition, it should be understood that the system 100 can provide, in certain cases, simple implementations of this technology, and that where this is the case, they were thus presented as an aid to understanding. As one skilled in the art understands, various technology implementations can be much more complex.

[0073] The system 100 comprises an electronic device 102. The electronic device 102 is typically associated with a user (not shown), and therefore may sometimes be referred to as a “client device”. It should be noted that, since the electronic device 102 is associated with the user, there is no need to suggest or imply any mode of operation - such as the need to go to the site, the need to register, etc.

[0074] The implementation of the electronic device 102 is not particularly limited, but, for example, the electronic device 102 can be implemented as a personal computer (desktop PCs, laptops, netbooks, etc.), a wireless electronic device (mobile phone, smartphone, tablet, etc.), as well as network equipment (router, switch or gateway).

[0075] For illustration purposes only, it is assumed that the electronic device 102 is implemented as a wireless communication device (smartphone), for example, an iPhone 5 smartphone running iOS 6 (ie, factory setting the operating system) provided by Apple from Cupertino, California, United States of America. The electronic device 102 includes and / or software and / or firmware (or combinations thereof), as is known in the art, to execute many of the applications 104.

[0076] In a specific embodiment of the technology and with a brief reference to FIG. 2, a circuit diagram of an electronic device 102 will be described. An electronic device 102 may include a processor 203. In some embodiments, the processor 203 may consist of one or more processors and / or one or more microcontrollers configured to execute instructions and perform operations related to operation electronic device 102. In various embodiments, the processor 203 may be implemented as a single chip, multiple chips, and / or other electrical components, including one or more and integrated circuits and printed circuit boards. Processor 203 may — but not necessarily — comprise a cache block (not shown) for temporarily locally storing instructions, data, or machine addresses. As an example, the processor 203 may consist of one or more processors, or one or more controllers, designed to perform certain processing tasks on the electronic device 102 or a single multifunction processor or controller.

[0077] A processor 203 is operatively coupled to a memory module 204. A memory module 204 may include one or more means of storing information and typically provides a place to store computer code (eg, software and / or firmware). As an example, memory module 204 may comprise various physical computer-readable media, including Read Only Memory (ROM or ROM) and / or Random Access Memory (RAM or RAM). As is well known in the art, ROM is used to transmit data and instructions in one direction - to the processor 203, but RAM is usually used to transmit data and instructions in a bi-directional manner. The memory module 204 may also contain one or more built-in storage devices such as, for example, hard disks (HDDs), solid state drives (SSDs), flash memory cards (e.g. Secured Digital or SD cards, embedded MultiMediaCard or eMMD cards ), among other suitable forms of memory in combination with a bi-directional transmission method to processor 203. Information may also be located on one or more removable media loaded or installed in electronic device 102, when necessary. As an example, any number of suitable memory cards (eg, SD cards) may be connected to the device 102 on a temporary or permanent basis.

[0078] The memory module 204 can store, among other things, a series of computer readable instructions that, when executed, cause the processor 203 (as well as other components of the electronic device 102) to perform various operations described herein.

[0079] The electronic device 102 further comprises an input / output module 206. An input / output module 206 may include one or more input and output devices operatively connected to a processor 203. For example, the input / output module 206 may include a keyboard, a mouse, one or more buttons, a thumb wheel and / or display (e.g., liquid crystal display (LCD), light emitting diode (LED), interferometric modulator display (IMOD), or any other suitable technology display). Typically, input devices are adapted to transmit data, commands, and responses to requests to electronic device 102 from the outside world. The display is typically adapted to display a graphical user interface (GUI) that provides an easy-to-use visual interface for the user interaction of the electronic device 102 with the operating system or application (s) running on the electronic device 102. In general, the GUI is programs, files and functional parameters using graphic images. During operation, the user can select and activate various graphic images displayed on the display in order to initialize related functions and tasks. The input / output module 206 may also include touch-based touch devices, such as a touch panel and a touch screen. A touch panel is an input device that has a surface that detects user input by touch. Similarly, a touch screen is a display that determines the presence and location of user input by touch. I / O module 206 can also use dual-touch or multi-touch displays or touch panels that can detect the presence, location, and movement of more than one touch input, such as touching two or three fingers.

[0080] In a specific embodiment of the technology, the electronic device 102 is implemented as a smartphone, the input-output module 206 can be implemented with a touch screen.

[0081] In specific embodiments of the technology, the electronic device 102 may further comprise an audio module 208, a camera module 210, a wireless communication module 212, sensor modules 214, and / or a wired communication module 216, all of which are functionally connected to a processor 203 to facilitate the implementation of various the functions of the electronic device 102.

[0082] For example, a camera module 208 containing an optical sensor, such as a CCD (charged coupled device), or CMOS (complementary metal-oxide semiconductor) CMOS can be used to facilitate such functions cameras as recording photos and video clips. For example, the wired communication module 216 may use a Universal Serial Bus (USB) port for file transfer or an Ethernet port for connecting to a local area network (LAN). In addition, the electronic device 102 may be powered by a power supply module 218, which may be in the form of a rechargeable battery (battery) or the like.

[0083] The wireless communication module 212 may be designed to operate on one or more wireless networks, such as a wireless PAN (WPAN) (such as, for example, BLUETOOTH WPAN, infrared PAN), WI-FI networks (such as, for example, 802.11a / b / g / n WIFI network, 802.11s mesh network), WI-MAX network, cellular telephone networks (such as, for example, the Global System for Mobile Communications (GSM) network, the Enhanced Data rates for GSM Evolution network (EDGE), the Universal Mobile Telecommunication System (UMTS) network, and / or the Long Term Evolution (LTE) network. In addition, the wireless communication module 212 may include hosting protocols, so that the electronic device 102 can be configured as a base station for other wireless devices.

[0084] The sensor module 214 may include one or more sensors to provide additional input devices and facilitate the multifunctional capabilities of the electronic device 102.

[0085] In specific embodiments, various components of the electronic device 102 may be operatively connected to each other via one or more buses (including hardware and / or software). By way of example, but not limitation, one or more of the buses may include an Accelerated Graphics Port (AGP) or another graphics bus, Enhanced Industry Standard Architecture (EISA), or Front-side Bus bus, FSB), HYPERTRANSPORT (HT) interconnect, ISA (Industry Standard Architecture) bus, INFINIBAND, low-pin count (LPC) bus, memory bus, Micro Channel Architecture (MCA) bus, PCI (Peripheral Component Interconnect) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, Video Electronics Standards Association local (VLB) bus, universal asynchronous receiver / transmitter (UART) interface, Inter-Integrated Circuit (I ² C) bus, serial Peripheral interface (SPI) bus, Secure Digital (SD) memory interface, MultiMediaCard (MMC) memory interface, Memory Stick media (MS) memory interface, Secure Digital Input Output (SDIO) interface, multi-channel Buffered Serial Port (McBSP) bus, universal USB serial bus, general purpose memory bus, general purpose control controller (GPMC) bus, SDRAM controller (SDRC) bus, General Purpose Input / Output (GPIO ) bus, separate video (S-Video) bus, Display Serial Interface (DSI) bus, Advanced Microcontroller Bus Architecture (AMBA) bus, or friend I suitable bus or a combination of two or more of them.

[0086] Returning to the description of FIG. 1, an electronic device 102 is connected to a communications network 114 via a communications channel 112, for example, either through a wireless communications module 212 or through a wired communications module 216 (or both). In some non-limiting embodiments of the present technology, communication network 114 may be implemented in the form of the Internet. In other embodiments of the present technology, the communication network 114 may be implemented differently, for example, in the form of any global communication network, local communication networks, private communication networks, and the like.

[0087] The way the communication channel 112 is implemented is not particularly limited, and will depend on how the electronic device 102 is implemented. Referring to the electronic device 102 that can be implemented, in this example, as a smartphone, the communication channel 112 can be wireless (such as Wireless Fidelity or briefly Wi-Fi®, Bluetooth®, etc.) using the aforementioned wireless module 212.

[0088] It should be clearly understood that implementations of electronic device 102, communication channel 112, and communication network 114 are for illustrative purposes only. Thus, it will be easy for those skilled in the art to appreciate the specific details for other implementations of the electronic device 102, communication channels 112, and communication network 114. As such, the examples provided herein above are by no means intended to limit the scope of this technology. .

[0089] For the purpose of illustrating embodiments of the present technology and with a brief reference to FIG. 3 depicting a screenshot of 300 with one of the standard OS "home" screens of an electronic device 102, where many applications 104 include:

Linkedln 302 application, FACEBOOK Communicator application 304, TravelZoo application 306, YELP 308 application and GMAIL 310 mail application. In this example, the plurality of applications 104 is a subset of all the applications available to the electronic device 102, the user of the electronic device 102 groups the subsets based on the category thereof. The category used in this case is the “social” category indicator 312, which also appears in the 300 screenshot.

[0090] To complete the description of the screenshot 300, the screenshot 302 is also included in the control panel of the device 314, which shows the status of the POWER of the network, network indicator, network type indicator, current time indication, battery usage level (all this is not numbered separately). It should be clearly understood that the control panel of the device 314 may include more or fewer elements than shown here.

[0091] Returning to the description of FIG. 1, it should be assumed that each of the plurality of applications 104 has either been pre-installed on the electronic device 102 or downloaded by the user of the electronic device 102. To this end, the system 100 further comprises an application store 110.

Recalling that in this illustrative embodiment, the electronic device 102 is implemented as an iPhone smartphone, the application store 110 can be implemented as an APPLE'S APP STORE server. Regardless of the particular implementation of the application store 110, a user of the electronic device 102 may cause the electronic device 102 to access the application store 110 via the communication network 114, and to view and / or download and / or update one or more new applications, in order to add them to the set applications, 104. Typically, the electronic device 102 runs an application for downloading and updating new applications from the application store 110. Following the scenario in which the electronic device 102 is smart iPhone, this application is called the APPLE′S APP STORE application.

[0092] The electronic device 102 is also configured to run the search application 106. Generally speaking, the purpose of the search application 106 is to provide a user (not shown) with the ability to search the Internet using a search engine. The implementation of the search application 106, in particular, is not limited. One example of a search application 104 may be embodied in user access to a website associated with a search engine for using the search application 104. For example, access to the search application can be obtained by entering the URL www.yandex.ru associated with the Yandex search engine. It should be clearly understood that the search application 104 may be executed using any other commercially available or private search engines. In alternative, unlimited embodiments of the present technology, the search application 104 may be implemented as a browser application on portable devices (such as a wireless electronic device). As an example (but not limited to) of those implementations where the second electronic device 103 is implemented as a smartphone, the electronic device 102 can run Yandex browser applications. It should be clearly understood that any other commercially available or private browser applications can be used to implement non-limiting options for implementing this technology.

[0093] Generally speaking, the search application 104 is configured to receive a “search string” from a user (not displayed) and to provide search results that meet a user's request. It is generally known in the art how a user request is processed and how the search results are presented and, for this reason, will not be described here because of the long length.

[0094] Generally speaking, embodiments of the present technology provide a way to personalize offers for downloading applications designed specifically for a given user (eg, for a user of electronic device 102). More specifically, embodiments of the present technology include evaluating (i) a specific user’s parameter and (ii) a specific application’s parameter. To evaluate the parameter of a specific user, one or more factors can be analyzed: the frequency of use of certain applications in the past; categories of frequently used applications; geo-information about the user / location of the user / routes of the user (various levels of geo-information can be analyzed, ranging from simple geographical coordinates to the actual assessment of the type of institution where the user is located, the frequency of the user's presence in the institution, time intervals, etc.).

[0095] In accordance with embodiments of the present technology, the history of search queries related to a given user can also be analyzed. In accordance with embodiments of the present technology, data obtained from various sensors associated with an electronic device (e.g., pressure sensor, accelerometer, etc.) can be further analyzed.

[0096] For a particular application parameter, one or more factors may be analyzed: application category; labeling applications; user feedback. Generally speaking, for any particular application, its key characteristics can be determined, a key characteristic is a parameter of a specific application. In some implementations, a key feature is based on user feedback about this application, converted to a predetermined number of words, such as: “easy interface”, “battery consumption”, “sends messages”, “hard to navigate”, “only basic functionality in free version "etc. Thus, in some implementations, reviews of other users can be analyzed, and the analysis step may include processing annotations of the application having a predetermined format. A predetermined format may include, for example, a predetermined number of words and the like.

[0097] Based on a combination of a specific user’s parameter and a specific application’s parameter, the contextually corresponding application is determined for that user.

[0098] More specifically, and with reference to FIG. 1, the electronic device 102 may execute the program as suggested by the application 108. In some embodiments, the program as proposed by the application 108 may be executed as part of the operating system executed by the processor 203. In other implementations, the execution of the program as proposed by the application 108 may itself be downloaded from application stores 110. In the latest implementations, execution of a program as suggested by application 108 can be performed by the same entity as the electronic devices 102 provide, or its operating system or other entity.

[0099] Generally speaking, the goal of executing a program as proposed by application 108 is to execute a subroutine as proposed by the application, as implemented in accordance with non-limiting embodiments of the present technology.

[00100] More specifically, program execution as proposed by application 108 may evaluate the above (i) specific user parameter and (ii) specific application parameter.

[00101] By way of illustration, and not limitation, the following examples of program execution, as suggested by application 108, defining a specific user parameter are possible:

[00102] EXAMPLE 1 — the execution of a program as suggested by application 108 can track how often a user of an electronic device 102 visits a gym, or when a user of an electronic device 102 is in the gym, based on data from a sensor module 214 (eg, based on GPS coordinates etc.). In this example, the execution of the program at the suggestion of application 108 can determine whether the parameter of a particular user takes the value - <user X> <gym now> or - <user X> <gym 4 times a week>.

[00103] It should be noted that the process of determining a specific location of a user is not limited. For example, based on GPS reading by the electronic device 102, the geographical location of the electronic device 102 can be determined. Executing the program at the suggestion of the application 108 can then convert the geographical location to a specific physical location using the Information Points of Interest (POI) of the map applications, registering the user of the electronic device 102 or registering other users using one or more applications from multiple applications 104, etc.

[00104] EXAMPLE 2 — the execution of a program as suggested by the application 108 can track how often the user of the electronic device 102 travels, or whether the user of the electronic device 102 is going to book a trip (for example, based on user queries in search engines). In this example, the execution of the program at the suggestion of the application 108 can determine the parameter of a specific user <user X> <away from home>.

[00105] EXAMPLE 3 - executing a program as suggested by application 108 can evaluate information from a sensor module 214 (such as a pressure sensor) and determine that the user of the electronic device 102 is located on top of a tall building or is climbing a mountain. In this example, executing a program at the suggestion of application 108 may define a specific user parameter as <user X> <location A floor B of building C>.

[00106] EXAMPLE 4 - executing a program as suggested by application 108 can evaluate information from a sensor module 214 (such as an accelerometer and gyroscope) and determine the exact location of a user of electronic device 102 within a given building. In this example, the execution of the program at the suggestion of application 108 can determine the parameter of a specific user <user X> <location A inside building B>.

[00107] EXAMPLE 5 — running a program as suggested by application 108 can evaluate information from a search application 106 — for example, a history of user searches related to electronic device 102. For example, if a user was looking for “high protein training diets,” application 108 can be determined by a specific user parameter <user X> <sports diet>.

[00108] EXAMPLE 6 - executing a program as suggested by application 108 can evaluate information with a change in the type of channel 112 used by the electronic device 102 to connect to the communication network 114. For example, as soon as the user of the electronic device 102 leaves his house (or apartment), the connection power Wi-Fi may weaken, and the electronic device 102 may eventually switch to 4G connectivity, as Wi-Fi connection power decreases or becomes completely unavailable. The execution of the program at the suggestion of application 108 may thus determine the parameter of a particular user <user X> <leaving home>.

[00109] Given the above examples of the historical parameter of a particular user, it can be estimated that the historical parameter of a particular user indicates actions that the user of the electronic device 102 has performed in the past, or is currently performing, or both. For example, the historical parameter of a particular user may indicate (i) that the user of the electronic device 102 goes to the gym 4 times a week and (ii) that the user of the electronic device 102 is currently in the gym.

[00110] In other embodiments of the technology, a specific user parameter may include or be based on at least one of:

a. Information about application sessions executed by a user with one or more of the plurality of applications 104;

b. Information representing user interactions with one or more of the many applications 104 and / or with the application store 110, such as: a user downloading one new of the many applications 104; a user uninstalling one of the plurality of applications 104;

c. The connection status of at least one wireless communication module 212 and wired communication module 216, as well as, for example, if an electronic device 102 using one or more of a GPRS connection, an EDGE connection, a 3G connection, an LTE connection, and the like, as well changes on the indicated points - for example, if the user has switched from a wireless network to a Wi-Fi connection, etc .;

d. Information associated with the power supply module 218, namely: if the electronic device 102 is connected to a power source to charge the battery; if the electronic device 102 is connected to the laptop via a USB cable; if the battery is fully charged, if the battery is almost empty, etc .;

e. Information related to the sensor module 214, namely: if the GPS device is on or off, etc.

f. User gender

g. User age

h. Does the user have a car;

i. Does the user have a spouse?

j. Does the user have children;

k. Region / part of the city where the user resides;

l. User income level;

m. Does the user work / normal working hours of the user;

n The amount or how much time the user spends on applications in one category in relation to another category;

o. The current location of the user (for example, in a museum, restaurant, metro, etc.);

p. The user's usual location is at home, at work, etc.

q. Reasons for the user's trip, such as based on information from the calendar, based on information related to meetings, etc.

[00111] By way of illustration, and not limitation, the following examples of program execution as suggested by application 108 to determine the parameter of specific applications of the application in the past may occur:

[00112] EXAMPLE 1 - executing a program at the suggestion of an application 108 may determine the parameter of specific applications of the application in the past, based on comments received from other users associated with a particular application. For example, an individual comment for FictitiousWorkOutApp may contain: "this is the best app for planning exercise routines and a personalized diet plan." Another personalized comment for FictiotiousMapApplication may include: "This app is good for driving directions in the countryside, but not in the city." In another example for FictitiousChatApp, in particular, a personalized comment might be: "this application has a terrible interface and drains your batteries." In the above example from FictitiousWorkOutApp, executing a program at the suggestion 108 can determine the parameter of a specific application, such as: <Appendix X> <cardio training application> <sports diet application>. In the above example in FictitiousChatApp, executing a program according to sentence 108 may determine the parameter of a specific application, such as: “Application X> <not recommended>.

[00113] EXAMPLE 2 - executing a program at the suggestion of an application 108 may determine a specific application parameter based on the application category and / or application markings. For example, based on the category of the specific application “chat application”, the execution of the program at the suggestion of the application 108 may determine that the parameter of the specific application is: <Application Y> <chat application>.

[00114] In other embodiments of the present technology, a particular application parameter may include the following examples:

a. Is the application free or paid;

b. The rating assigned to this application from the application store 110.

[00115] Now, an example will provide how executing a program as suggested by an application 108 may provide recommendations for an application to download to an electronic device 1202 to a user based on (i) a parameter of specific applications of the application in the past and (ii) a parameter of a specific application.

[00116] For the purposes of this illustration, it is conceivable that the execution of the program as proposed by application 108 determined the following: (i) parameter (s) of specific applications of the application in the past and (ii) parameter (s) of a specific application.

[00117] Running the program as suggested by application 108 may determine that the user of the electronic device 102 is currently in the gym (for example, based on information received from the sensor module 214). Thus, the execution of the program at the suggestion of the application 108 stores the following indication of the parameter of specific applications of the application in the past in the memory module 204: <user X> <now gym>, where <user X> is an indicator of a unique identifier associated with the user of the electronic device 102. Based on the present example, the unique user identifier of the electronic device 102 may be a user identification — the user ID in the iTune Store App Store.

[00118] Running the program at the suggestion of the application 108 can determine what the user of the electronic device 102 was previously looking for with the search application 106 on “high protein training diets”. Thus, the execution of the program at the suggestion of the application 108 can determine the parameter of a specific user <user X> <sports diet>. Thus, the execution of the program at the suggestion of the application 108 stores the following indication of a specific user parameter in the past in the memory module 204: <user X> <sports diets>, where <user X> is an indicator of a unique identifier associated with the user of the electronic device 102. Given of the present example, the unique user identifier of the electronic device 102 may be a user identification — the user ID in the iTune Store App Store.

[00119] Now, the manner in which the execution of the program as suggested by the application 108 actually analyzes the user's location and the history of previous user searches in the two above examples is not particularly limited. For example, executing a program as suggested by application 108 may implement various machine learning algorithms. On the other hand, program execution as suggested by application 108 may store an internal display of various potential user locations and parameter identifiers of a particular user in the past.

[00120] Furthermore, program execution as suggested by application 108 may determine (based on a review related to FictitiousWorkOutApp: “this is the best application for planning exercise routines and an individual diet plan”) that FictitiousWorkOutApp is associated with the following application-specific parameter: <Appendix X > <cardio app> <sports diet app>.

[00121] The execution of the program as suggested by the application 108 is at the same time configured to determine, based on (i) the parameter of the specific user in the past and (ii) the parameter of the specific application recommended for download for the user of the electronic device 102. In the illustrated embodiment, with the execution programs at the suggestion of annex 108 the following definitions were made:

[00122] <user X> <gym now>

[00123] <user X> <sports diets>

[00124] <Appendix X> <cardio training app> <sports diet app>

[00125] In accordance with embodiments of this technology, with the execution of a program as suggested by application 108, it can be determined that a user associated with electronic device 102 is interested in training and a sports diet; that the user is currently in the gym and that the FictitiousWorkOutApp application coincides with the "interests" of the user associated with the electronic device 102 (based on at least part of his previous searches) and, therefore, that the FictitiousWorkOutApp application is of interest to the user, associated with the electronic device 102.

[00126] Although in the typical example illustrated above, executing a program at the suggestion of application 108 uses three parameters to formulate a recommendation — two parameters of a specific user and one parameter of a specific application, in an alternative embodiment, executing a program at the suggestion of application 108 to formulate a recommendation for an application at least one parameter of a specific user and at least one parameter of a specific application may be used for downloading.

[00127] Running the program at the suggestion of the application 108 may further provide the user with an indication of the download of the FictitiousWorkOutApp application using, for example, a text or graphic message on the I / O module 206 (i.e., the screen of the electronic device 102). In some embodiments of the present technology, this indication is provided to the user of the electronic device 102 when the user is “contextually connected” to the FictitiousWorkOutApp application - in this case when it is determined that the user of the electronic device 102 is in the gym. In alternative implementations, this indication is provided to the user of the electronic device 102 when the user "unlocks" the screen or otherwise activates the electronic device 102 after the moment the user first becomes contextually connected with the application space FictitiousWorkOutApp - this is the case, after it is determined, that the user of the electronic device 102 is in the gym.

[00128] As used herein, “contextually linked” refers to a point in time when an application is contextually relevant to a user based on one or more of the factors discussed herein.

[00129] With reference to FIG. 4, where a screenshot of 400 is shown, the program execution output as proposed by application 108, shown in a screenshot of 400, program execution as proposed by application 108, is implemented in accordance with non-limiting embodiments of the present technology.

[00130] Screenshot 400 shows an application sentence fragment 402. In some embodiments of the present technology, an application sentence fragment 402 may occupy the entire screen, which is formed by the input / output module 206. In alternative embodiments (as will be immediately described with reference to Fig. 5 ), an application sentence fragment 402 may occupy part of the screen, which is formed by the input-output module 206.

[00131] In some embodiments, a sentence fragment of an application 402 may be shown to a user when the electronic device 102 is “unlocked”. At the same time, a fragment of the application 402 proposal can be shown to the user in the "locked screen" mode. An application snippet 402 has a main application window 404 and a secondary application window 406. The main application window 404 is intended to provide the user with an offer of an application contextually corresponding to the download, while the secondary application window 406 is intended to provide the user with an offer of at least one additional application for download. It should be noted that the secondary application window 406 may be omitted in some alternative embodiments of this technology.

[00132] For the purpose of illustrating a screen shot of 400, it should be assumed that the execution of the program as suggested by application 108 determined that the user associated with the electronic device 102 is traveling and therefore the specific user parameter contains <User Y> <Travel>. As it should be further assumed that the execution of the program on the proposal of application 108 defined the following applications with the following parameters of specific applications:

- “2GIS” application associated with the following parameter of specific applications <2GIS application> <Travels> <Maps> <Flight Information>;

- The Yandex.Maps application associated with the following parameter of a specific application <Yandex.Maps application> <Travels> <Maps>;

- The "Angry Birds" application associated with the following parameter of a specific application <Angry Birds application> <Games> <High_Discharge>;

- Application "Weather" associated with the following parameter of a specific application <Application Weather> <Weather> <World> <Fine_Interface>;

- Application "Theater" associated with the following parameter of a specific application <Application Theater> <Link> <Quick_Order_Tickets>.

[00133] With the execution of the program as proposed by the application 108, it is therefore determined that each of “2GIS”, “Yandex.Maps”, “Angry Birds”, “Weather”, “Theater” are applications that contextually correspond to a user of electronic device 102 , and the fact that the user of the electronic device 102 has not yet downloaded these applications.

[00134] With the execution of the program as suggested by the application 108, thus, the following information is provided to the user as part of the main application window 404 and the secondary application window 406.

[00135] Inside the main application window 404, running the program at the suggestion of the application 108 provides the user with an indication of the context information 408. In the described embodiment, the indication of the context information 408 is associated with a specific user parameter, which is <User Y> <Travel>. As such, an indication of the context information 408 includes an image of the aircraft and the question: “Are you Traveling?”.

[00136] The main application window 404 also includes an indication of the first proposed application 410. An indication of the first recommended application 410 is associated with a "2GIS" application. The main application window 404 also contains a brief annotation 412 associated with the recommended application. The main application window 404, further comprises an additional information button 414 for activating a program as suggested by application 108 to provide additional information about a recommended application (such as, but not limited to, full specification, full rating, comments from other users, etc. .P.).

[00137] The main application window 404 also includes a download button 416 to enable the user of the electronic device 102 to indicate his desire to download the recommended application.

[00138] The optional secondary window of application 406 includes an indication of at least one additional application that is recommended to the user for downloading to run the program at the suggestion of application 108. In the described embodiment, the secondary window of application 406 includes the following recommendations:

- The second proposed application 420, associated with the "2GIS" application;

- The third proposed application 422, associated with the "Yandex.Maps" application;

- The fourth proposed application 424, associated with the "Angry Birds" application;

- Fifth proposed application 426 related to the Weather application;

- Sixth proposed app 428 related to the Theater app.

[00139] It should be clearly understood that the secondary application window 406 may contain more or less recommendations, or may be omitted altogether in alternative embodiments of the present technology.

[00140] It should be noted that the secondary application window 406 does not contain a button similar to the download button 416 from the primary application window 404. For this purpose, if the user wishes to download one of the proposed applications inside the secondary application window 406, the user can activate the corresponding one from the second proposed application 420, the third proposed application 422, the fourth proposed application 424, the fifth proposed application 426 and the sixth proposed application 428. After the user drives if one of the second proposed application 420, the third proposed application 422, the fourth proposed application 424, the fifth proposed application 426 and the sixth proposed application 428 are activated, the program execution on the proposal of application 108 can either (i) automatically start downloading, respectively, one of the second proposed annex 420, a third proposed annex 422, a fourth proposed annex 424, a fifth proposed annex 426 and a sixth proposed annex 428 or (ii) to gives an interface similar to the main application window 404 associated respectively with one of the second proposed application 420, the application of the proposed third 422, fourth 424 of the proposed application, the proposed application of the fifth 426 and sixth 428 proposed application.

[00141] With reference to FIG. 5, a screen shot 500 is shown, a screen shot 500 depicting a program output as proposed by application 108, the program as proposed by application 108 is executed in accordance with a non-limiting embodiment of the present technology.

[00142] Screenshot 500 shows a fragment of an application 502 proposal. Inside the depicted embodiment in FIG. 5, a sentence fragment of an application 502 occupies a portion of the screen 503 that is formed by the input / output module 206. The remaining portion of the screen 503 is occupied by other applications of the window 505, these other applications of the window 505 include indicating a subset of the plurality of applications 104 installed on the electronic device 102 (this is a subset in the above example, it contains the Dropbox application, OZON.ru, the Clock application, the Calculator application, the Yandex.Market application, the UBANK application, the TripAdvisor application, the Phone fragment, the Contacts fragment ", fragment" Incoming mail ", fr gment "Browser" and part of "Other Applications", and not all individually numbered for ease of illustration).

[00143] An application snippet 502 has a main application window 504 and a secondary application window 506. In this illustrative embodiment, the main application window 504 is intended to provide the user with an application offer that is contextually relevant for downloading, while the secondary application window 506 is for providing the user with an offer of at least one additional application that is already downloaded to the electronic device 102 and contextually corresponds to STUDIO electronic device 102. In other words, the algorithms and procedures described above to select an application for download, can be applied mutatis mutandis, for guidance on contextually relevant application that was already downloaded by the user of the electronic device 102.

[00144] The image of the main window of the application 504 and the secondary window of the application 504 is essentially the same as the image of the main window of the application 404 and the secondary window of the application 404, excluding the secondary window of the application 504, which is associated with the recommended and already installed application, and therefore associated with the “My Applications” header shown in FIG. 5.

[00145] Thus, in addition to indicating to download the application, executing the program as suggested by the application 108 also provides an indication of one or more of the many applications 104 already installed on the electronic device 102. One or more of the many applications 104 already installed on the electronic device 102 based on their contextual relevance, the user of the electronic device 102 is very similar to how a new application for installation is selected as described above.

[00146] Other examples of embodiments of the present technology include the following.

[00147] In one scenario, running a program as suggested by application 108 may determine that the user associated with the electronic device 102 is in the business part of the city after 6 pm (based on information from one or more sensors of the electronic device 102). The execution of the program at the suggestion of the application 108 may further determine that the user likes to watch new successful films in movie theaters (for example, based on previous user search queries or using one of a variety of applications 104, such as a movie theater application). Thus, the execution of the program on the proposal of the application 108 may recommend one or more applications that are contextually relevant or contextually interesting to the user of the electronic device 102.

[00148] With reference to FIG. 6, a screen shot 600 is shown, a screen shot 600 depicting a program output as proposed by application 108, the program as proposed by application 108 is executed in accordance with a non-limiting embodiment of the present technology. Screenshot 600 shows a fragment of an application proposal similar to that of an application 402. More specifically, a screenshot 600 shows a first proposed application 602, a second proposed application 604 and a third proposed application 606, all from the first proposed application 602, the second proposed application 604 and the third proposed applications 606 were selected by executing a program as suggested by application 108 as contextually appropriate for a user of electronic device 102.

[00149] In this specific example, due to the execution of the program at the suggestion of the application 108, the first proposed application 602, the second proposed application 604 and the third proposed application 606 are contextually relevant for the user based on:

[00150] Specific user parameter: a user associated with the electronic device 102 is in the business part of the city after 6 pm (based on information from one or more sensors of the electronic device 102).

[00151] Specific user parameter: the user likes to watch new successful films in movie theaters (for example, based on previous user searches or using one of a variety of applications 104, such as a movie theater application).

[00152] Application-specific parameter: each of the first proposed application 602, the second proposed application 604, and the third proposed application 606 is good in the movies application category.

[00153] Therefore, in the described example, the first proposed application 602 is "Poster - movie schedule", the second proposed application 604 is "Theater Poster - theater schedule", and the third proposed application 606 is the "Theater" application. Naturally, the first proposed application 602, the second proposed application 604 and the third proposed application 606 may also be representative of already installed applications recommended for use.

[00154] In another scenario, running a program at the suggestion of an application 108 may determine that a user associated with the electronic device 102 has performed several searches with the search application 106, several searches to search for “translations”. Thus, the execution of the program at the suggestion of the application 108 may recommend one or more applications that are contextually relevant or contextually interesting to the user of the electronic device 102.

[00155] With reference to FIG. 7, a screen shot of 700 is shown, a screen shot of 700 depicting a program output as proposed by application 108, the program as proposed by application 108 is executed in accordance with a non-limiting embodiment of the present technology.

[00156] A screenshot 700 shows a fragment of an application proposal similar to a fragment of an application 402. More specifically, a screenshot 700 shows a first proposed application 702, a second proposed application 704 and a third proposed application 706, all from the first proposed application 702, the second proposed application 704 and the third proposed application 706 were selected due to the execution of the program proposed by the application 108 as contextually relevant for the user of the electronic device 102.

[00157] In this specific example, due to the execution of the program at the suggestion of the application 108, the first proposed application 702, the second proposed application 704 and the third proposed application 706 are contextually relevant for the user based on:

[00158] Specific user parameter: the user searches the search engine to search for 'translations'.

[00159] Application-specific parameter: each of the first proposed application 702, the second proposed application 704, and the third proposed application 706 is a good translation application.

[00160] Therefore, in the described example, the first proposed application 702 is the ABBYY Dictionaries application, the second proposed application 704 is the GOLDENDICT application (Free), and the third proposed application 706 is the Offline Dictionary application. Naturally, the first proposed application 702, the second proposed application 704 and the third proposed application 706 may also be representative of already installed applications recommended for use.

[00161] The architecture of FIG. 1 and the various examples above show that a method for recommending applications to a user can be performed. With reference to FIG. 8, which shows a flowchart of a method 800, method 800 is performed in accordance with embodiments of the present technology. In some embodiments of the present technology, method 800 may be executed by a program offering the application 108 on an electronic device 102. In other embodiments of the present technology, method 800 may be performed by a server, such as application storage 110, search server 112, or any other server present in the architecture of system 100. A server implementing method 800 may be under the control and / or control of the same entity that provided the program upon proposal of application 108 or, alternative tively, it can be controlled and / or managed by another party.

[00162] For clarity, method 800 will be described in the context of what is implemented on the server. Naturally, the doctrine presented here will be applied with corresponding changes in those cases where the method 800 is carried out by the electronic device 102.

[00163] Step 802 - Assessing At least One Parameter of a Specific User

[00164] Method 800 begins at block 802, where the server evaluates at least one specific user parameter.

[00165] In some embodiments, the at least one particular user parameter indicates at least one of: (i) past user interaction with another application, (ii) past user interaction with the search engine; (iii) the geographic location of the user; (iv) data associated with at least one sensor of an electronic device. In other implementations, at least one particular user parameter indicates two or more of: (i) past user interaction with another application, (ii) past user interaction with the search engine; (iii) the geographic location of the user; (iv) data associated with at least one sensor of an electronic device.

[00166] In some embodiments, the geographic location of the user can be estimated using the integrated GPS device of the electronic device 102. In other implementations, at least one specific user parameter may indicate data associated with at least one sensor of the electronic device 102 and may be obtained from electronic device 102. In some embodiments of the present technology, a user's geographic location may include a user route - t .e. information representing the movement of the user from point A to point B.

[00167] In further embodiments, a particular user parameter may indicate a user’s interaction with one of the other applications and may be evaluated when user interactions have been received in the past with electronic device 102. In further implementations, user interactions in the past with a search engine, includes receiving past user searches from search engine 112, and based on user searches in the past, determining at least about Noah search target.

[00168] In alternative embodiments, and, as mentioned above, a specific user parameter may be a feature or may be based on one or more of the following:

a. Information about application sessions executed by a user with one or more of the many applications 104;

b. Presenting information about user interactions with one or more of the many applications 104 and / or with the application store 110, such as: the user downloads one new one from the many applications 104; the user removes one of the plurality of applications 104;

c. The communication status with at least one wireless module 212 and a wired communication module 216, such as, for example, if the electronic device 102 uses one or more of a GPRS connection, an EDGE connection, a 3G connection, an LTE connection, and the like, and also changes in them - for example, if the user switched from a wireless network to a Wi-Fi connection, etc .;

d. Information associated with the power supply module 218, namely: in case the electronic device 102 is connected to a power source to charge the batteries; in case the electronic device 102 is connected to the laptop via a USB cable; if the batteries are fully charged, if the batteries are almost empty, etc .;

e. Information related to the sensor module 214, namely: if the GPS device is on or off, etc .;

f. User gender

g. User age

n Does the user have a car;

i. Does the user have a spouse?

j. Does the user have children;

k. Region / part of the city where the user resides;

l. User income level;

m. Does the user work / normal working hours of the user;

n The amount or how much time the user spends on applications in one category in relation to another category;

o. The current location of the user (for example, in a museum, restaurant, metro, etc.);

p. The user's usual location is at home, at work, etc.

q. Reasons for the user's trip, such as based on information on her calendar, based on information related to meetings, etc.

[00169] Then, the method 800 proceeds to step 804.

[00170] Step 804 — evaluating at least one parameter of a particular application associated with a potentially recommended application

[00171] Next, at 804, the server evaluates at least one parameter of a particular application associated with a potentially recommended application.

[00172] In some implementations of method 800, step 804 includes analyzing reviews of other users associated with potentially recommended applications. In other implementations of method 800, the analysis step includes applying a machine learning algorithm. In other implementations of method 800, the analysis step includes annotating an application having a predetermined format. A predetermined format may include, for example, a predetermined number of words, and the like.

[00173] In some embodiments of the present technology, step 804 may be performed using computer linguistics. An example of the use of computer linguistics is described in US Pat. No. 7,082,426 to Musgrove et al., July 25, 2006, the entire contents of which are incorporated by reference in all countries where such inclusion is permitted by law.

[00174] Then, the method 800 proceeds to step 806.

[00175] Step 806 is based on a combination of at least one parameter of a particular user and at least one parameter of a specific application, determining whether the potentially recommended application is contextually relevant to the user

[00176] Next, at 806, a server based on a combination of at least one specific user parameter and at least one specific application parameter determines whether the potentially recommended application is contextually relevant to the user.

[00177] In some implementations of the method, step 806 further includes determining contextual information associated with the user and based on at least one parameter of the particular user. Thus, step 804 may further include determining whether the potentially recommended application is contextually relevant to the user based on contextual information associated with the user.

[00178] Then, the method 800 proceeds to step 808.

[00179] Step 808 - is responsible for ensuring that the potentially recommended application is contextually relevant to the user, transmitting a trigger signal to the electronic device, which is an additional tool to encourage the electronic device to provide visual recommendations for applications that are potentially recommended for download.

[00180] Next, at step 808, the server is responsible for ensuring that the potentially recommended application is contextually relevant to the user, transmitting a start signal for the electronic device, which is an additional tool for prompting the electronic device to provide visual recommendations for applications potentially recommended for download.

[00181] The trigger signal may be a tool for prompting a program, upon the proposal of the application 108 of the electronic device 102, to display a fragment of the proposal of the application 402, 502, for example.

[00182] In some implementations of method 800, the server may additionally (i) determine a second parameter of a particular application associated with the installed potentially recommended application (for example, one or more of a variety of applications 104 that may contextually correspond to a user of electronic device 102); (ii) based on a combination of at least one parameter of a specific user and a second parameter of a specific application, determine whether the potentially recommended installed application is contextually relevant to the user; and (iii) be responsible for ensuring that the potentially recommended application is contextually relevant to the user, and the triggered trigger signal is an additional tool to encourage the electronic device to provide visual recommendations on the use of installed potentially recommended applications.

[00183] In some implementations of method 800, a visual recommendation to download a potentially recommended application and a visual recommendation to use an installed potentially recommended application are presented as part of a single user interface, as well as a fragment of the application proposal 502, which has a main application window 504 and a secondary application window 506 As described above, the main application window 504 is intended to provide the user with a proposal for a contextually appropriate application. download application, while the secondary application window 506 provides the user with an offer of at least one additional application that has already been downloaded to the electronic device 102 and is contextually appropriate for the user of the electronic device 102.

[00184] Then, method 800 may return to step 802 or, alternatively, terminate.

[00185] Even though the description of method 800 was provided with an example with one specific user parameter and one specific application parameter, in alternative implementations, at least one specific user parameter may contain many specific user parameters and / or at least one specific application parameter Contain many application-specific options.

[00186] Modifications and improvements in the above embodiments of the present technology may become apparent to those skilled in the art. The above description is intended to be illustrative, but not limiting. The scope of the present technology, therefore, may be limited solely by the scope of the attached claims.

Claims (38)

1. A method of offering an application for download to a user, executed on a server connected to a user's electronic device via a communication channel, including:
obtaining at least one parameter of a particular user; transmitting a trigger signal, which is a tool to encourage an electronic device to provide visual recommendations on applications potentially recommended for download, to an electronic device in response to a potentially recommended application;
characterized in that it additionally perform:
obtaining at least one parameter of a particular application associated with a potentially recommended application; and determining contextual correspondence for the user of the recommended application based on a combination of at least one user parameter and at least one parameter of a particular application. 2. The method according to p. 1, characterized in that one parameter of a particular user indicates at least one of: user interaction in the past with another application, user interaction in the past with a search engine; user's geographic location; data associated with at least one sensor of an electronic device. 3. The method according to p. 2, characterized in that at least one parameter of a particular user indicates two or more of: user interaction in the past with another application, user interaction in the past with a search engine; user's geographic location; data associated with at least one sensor of an electronic device. 4. The method according to p. 2, characterized in that at least one parameter of a particular user indicates the geographic location of the user, containing an estimate of the geographic location of the user from the GPS device integrated into the electronic device. 5. The method according to p. 2, characterized in that the receipt of at least one parameter of a particular user contains data received from at least one sensor of an electronic device. 6. The method according to p. 2, characterized in that the user's interaction in the past with one of the other applications includes receiving a user interaction history from an electronic device. 7. The method according to p. 2, characterized in that the user's interaction with the search system in the past includes receiving a user history of search queries from a server search engine and determining at least one search target based on a user history of search queries. 8. The method according to p. 2, characterized in that they determine the contextual information associated with the user, based on at least one parameter of a particular user. 9. The method according to p. 8, characterized in that they determine a potentially recommended application that is contextually appropriate for the user, based on contextual information associated with the user. 10. The method according to p. 1, characterized in that at least one parameter of a specific application is the first parameter of a specific application, and determine the second parameter of a specific application associated with the installed potentially recommended application; and
determining whether the installed potentially recommended application is contextually appropriate for the user based on a combination of at least one specific user parameter and a second specific application parameter;
In response to the installed potentially recommended application, which is contextually relevant for the user, a start signal is transmitted, which is an additional tool for prompting the electronic device to provide visual recommendations on the installed potentially recommended application. 11. The method according to p. 10, characterized in that the visual recommendation to download the potentially recommended application and the visual recommendation to use the installed potentially recommended application are provided within a single user interface. 12. The method according to p. 1, characterized in that the receipt of at least one parameter of a specific application associated with a potentially recommended application, includes analyzing the feedback of other users associated with the potentially recommended application. 13. The method according to p. 12, characterized in that the analysis includes the use of machine learning algorithm. 14. The method according to p. 12, characterized in that the analysis includes creating an annotation of the application having a predetermined format. 15. The method according to p. 1, characterized in that at least one parameter of a particular user includes many parameters of specific users. 16. The method according to p. 1, characterized in that at least one parameter of a specific application includes many parameters of specific applications. 17. A method of offering an application for download to a user, the user being associated with an electronic device, a method running on an electronic device and comprising:
obtaining at least one parameter of a particular user;
transmitting a trigger signal, which is a tool to encourage an electronic device to provide visual recommendations on applications potentially recommended for download, to an electronic device in response to a potentially recommended application;
characterized in that it additionally perform:
obtaining at least one parameter of a particular application associated with a potentially recommended application; and determining contextual correspondence for the user of the recommended application based on a combination of at least one user parameter and at least one parameter of a particular application. 18. The method according to p. 17, characterized in that one parameter of a particular user indicates at least one of: user interaction in the past with another application, user interaction in the past with a search engine; user's geographic location; data associated with at least one sensor of an electronic device. 19. The method according to p. 17, characterized in that at least one parameter of a particular user indicates two or more of: user interaction in the past with another application, user interaction in the past with a search engine; user's geographic location; data associated with at least one sensor of an electronic device. 20. The method according to p. 17, characterized in that the receipt of at least one parameter of a particular user indicates the geographic location of the user, including the assessment of the geographic location of the user from a GPS device integrated in the electronic device. 21. The method according to p. 17, characterized in that the receipt of at least one parameter of a particular user indicates data associated with at least one sensor of an electronic device, including receiving data from an electronic device. 22. The method according to p. 17, characterized in that the receipt of user interaction in the past with one of the other applications includes evaluating the user interaction history. 23. The method according to p. 17, characterized in that the receipt of user interaction in the past with the search system includes receiving a user history of search queries from a search engine server and determining at least one search target based on a user history of search queries. 24. The method according to p. 17, characterized in that they determine the contextual information associated with the user based on at least one parameter of a particular user. 25. The method according to p. 24, characterized in that they determine a potentially recommended application that is contextually relevant for the user, based on contextual information associated with the user. 26. The method according to p. 17, in which at least one parameter of a particular application is the first parameter of a specific application and determine the second parameter of a specific application associated with the installed potentially recommended application; and
determining whether the installed potentially recommended application is contextually appropriate for the user based on a combination of at least one specific user parameter and a second specific application parameter;
in response to the installed potentially recommended application, which is contextually relevant for the user, provide visual advice on the installed potentially recommended application. 27. The method according to p. 26, wherein the visual recommendation to download the potentially recommended application and the visual recommendation to use the installed potentially recommended application is provided as part of a single user interface. 28. The method according to p. 17, characterized in that the receipt of at least one parameter of a particular application associated with a potentially recommended application, includes analyzing the feedback of other users associated with the potentially recommended application. 29. The method according to p. 28, characterized in that the analysis includes the application of machine learning algorithm. 30. The method according to p. 29, characterized in that the analysis includes creating an annotation of the application having a predetermined format. 31. A method of offering an application to a user, the user being associated with an electronic device, and the method being executed on a computing device, the method includes:
obtaining at least one parameter of a particular user;
transmitting a trigger signal, which is a tool to encourage an electronic device to provide visual recommendations on applications potentially recommended for download, to an electronic device in response to a potentially recommended application;
characterized in that it additionally perform:
obtaining at least one parameter of a particular application associated with a potentially recommended application; and
determining contextual compliance for a user of a recommended application based on a combination of at least one user parameter and at least one parameter of a particular application. 32. The method according to p. 31, characterized in that the potentially recommended application is a new application that will be downloaded to an electronic device, and a visual recommendation is a recommendation to download. 33. The method according to p. 31, characterized in that the potentially recommended application is an already downloaded application located on an electronic device, and a visual recommendation is a recommendation for using the application. 34. The method according to p. 31, characterized in that the computing device is an electronic device. 35. The method according to p. 31, wherein the computing device is a server communicatively connected to an electronic device via a communication network. 36. A server for offering an application for download to a user, comprising:
a communication interface for communicating with an electronic device via a communication network, a processor operably connected to the communication interface, configured to:
obtaining at least one parameter of a particular user; transmitting a trigger signal, which is a tool to encourage an electronic device to provide visual recommendations on applications potentially recommended for download, to an electronic device in response to a potentially recommended application;
A server, characterized in that the processor is further configured for:
obtaining at least one parameter of a particular application associated with a potentially recommended application; and
determining contextual relevance for the user of the recommended application based on a combination of at least one user parameter and at least one parameter of a particular application. 37. An electronic device for offering an application for download to a user, comprising:
input user interface for receiving input from a user;
an output user interface for providing at least one of the visual and audio outputs to the user;
network communication interface for two-way communication over a communication network; and
a processor coupled to an input user interface, an output user interface, and a network communication interface, and
moreover, the processor is configured to have access to machine-readable instructions that, when executed, prompt the processor to execute the program on the proposal of the application as recommendations of the given application to the user for downloading via the user output interface, additionally executed commands that prompt the processor to execute:
obtaining at least one parameter of a particular user; transmitting a trigger signal, which is a tool to encourage an electronic device to provide visual recommendations on applications potentially recommended for download, to an electronic device in response to a potentially recommended application;
An electronic device, characterized in that the processor further performs:
obtaining at least one parameter of a particular application associated with a potentially recommended application; and
determining contextual compliance for a user of a recommended application based on a combination of at least one user parameter and at least one parameter of a particular application. 38. An electronic device for offering an application for download to a user, comprising:
input user interface for receiving input from a user;
an output user interface for providing at least one of the visual and audio outputs to the user;
network communication interface for two-way communication over a communication network; and
a processor connected to an input user interface, an output user interface, and a network communication interface,
moreover, the processor is configured to access machine-readable instructions that, when executed, cause the processor to execute the program upon the proposal of the application as recommendations of this application to the user via the output user interface, additionally executed commands that prompt the processor to execute:
obtaining at least one parameter of a particular user; transmitting a trigger signal, which is a tool to encourage an electronic device to provide visual recommendations on applications potentially recommended for download, to an electronic device in response to a potentially recommended application;
An electronic device, characterized in that the processor further performs:
obtaining at least one parameter of a particular application associated with a potentially recommended application; and determining contextual correspondence for the user of the recommended application based on a combination of at least one user parameter and at least one parameter of a particular application.

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