HK1221368B - Method and system for obtaining user activity range - Google Patents

Description

Method and device for obtaining user activity range

Technical Field

The present application relates to the field of communication technology, and in particular to a method and device for obtaining a user activity range.

Background Art

In order to better serve users, e-commerce websites need to determine the user's activity range in some cases, for example, to push targeted product information based on the user's activity range.

Therefore, a convenient and concise solution for determining the user's activity range is needed.

Summary of the Invention

The present application aims to solve one of the technical problems in the related art at least to a certain extent.

To this end, one purpose of the present application is to propose a method for obtaining a user's activity range, which can conveniently and concisely determine the user's activity range.

Another object of the present application is to provide a device for obtaining a user's activity range.

To achieve the above-mentioned purpose, the method for obtaining the user activity range proposed in the first aspect embodiment of the present application includes: obtaining the user's current geographic location information, wherein the current geographic location information is obtained after positioning the mobile device used by the user; determining the current activity range based on the current geographic location information; adding the current activity range to the pre-acquired historical activity range to obtain the updated activity range of the user.

The method for obtaining the user's activity range proposed in the embodiment of the first aspect of the present application obtains the user's current geographic location information from the mobile device and determines the user's activity range based on the user's current geographic location information. Since the geographic location information can be determined conveniently and concisely, the current activity range can be easily determined.

To achieve the above-mentioned purpose, the device for obtaining user activities proposed in the second aspect embodiment of the present application includes: an acquisition module for obtaining the user's current geographic location information, wherein the current geographic location information is obtained after positioning the mobile device used by the user; a first determination module for determining the current activity range based on the current geographic location information; and an adding module for adding the current activity range to the pre-acquired historical activity range to obtain the updated activity range of the user.

The device for obtaining user activities proposed in the second embodiment of the present application obtains the user's current geographic location information from the mobile device and determines the user's activity range based on the user's current geographic location information. Since the geographic location information can be determined conveniently and concisely, the current activity range can be easily determined.

Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and/or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

FIG1 is a flow chart of a method for obtaining a user activity range according to an embodiment of the present application;

FIG2 is a flow chart of a method for obtaining a user activity range according to another embodiment of the present application;

FIG3 is a schematic diagram of the probabilities corresponding to different activity ranges in an embodiment of the present application;

FIG4 is a schematic structural diagram of an apparatus for obtaining a user activity range according to another embodiment of the present application;

FIG5 is a schematic structural diagram of an apparatus for obtaining a user activity range proposed in another embodiment of the present application.

DETAILED DESCRIPTION

The embodiments of the present application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present application and are not to be construed as limiting the present application. On the contrary, the embodiments of the present application include all variations, modifications, and equivalents that fall within the spirit and scope of the appended claims.

FIG1 is a flow chart of a method for obtaining a user activity range according to an embodiment of the present application. The method includes:

S11: Acquire the user's current geographic location information, wherein the current geographic location information is obtained by positioning a mobile device used by the user.

After the user logs in, the mobile device used by the user may be geographically positioned, for example, using a Global Positioning System (GPS) to position the mobile device, and the geographical location information obtained by positioning may be determined as the current geographical location information of the user.

A mobile device is, for example, a mobile phone or tablet computer used by a user.

Taking mobile phones as an example, since mobile phones are very popular, users can use mobile phones to access the Internet. When a user logs in to a website using a mobile phone, the website's server can trigger the GPS device of the mobile phone to work. After the GPS device obtains the geographical location information of the mobile phone, it reports the geographical location information to the website's server, so that the server determines the geographical location information obtained by the positioning as the user's current geographical location information.

S12: Determine the current activity range according to the current geographical location information.

Specifically, they may include:

Obtaining predetermined parameters for calculating the activity range;

The current activity range is determined according to the parameters and the current geographical location information.

Specifically, the following calculation formula can be used to determine the current activity range:

Wherein, f( _Pi ) is the current activity range, _Pi is the current geographical location information, and d and s are predetermined parameters.

Specifically, d can be determined based on the user's historical geographic location information. For example, when the user last logged in, the two points that were farthest apart were A and B, and the spatial distance between A and B can be determined as d. s can be preset.

S13: Add the current activity range to the previously acquired historical activity range to obtain an updated activity range of the user.

Assuming that the historical activity ranges include: f(P ₁ ), f(P ₂ ) and f(P ₃ ), and the current activity range is f(P _i ), then the updated activity range of the user is: F = {f(P ₁ ), f(P ₂ ), f(P ₃ ), ..., f(P _i )}.

This embodiment obtains the user's current geographic location information from the mobile device and determines the user's activity range based on the user's current geographic location information. Since the geographic location information can be easily and concisely determined, the current activity range can be easily determined.

FIG2 is a flow chart of a method for obtaining a user activity range according to another embodiment of the present application, the method comprising:

S21: Obtain the user's current geographic location information.

Taking a user using a mobile phone to access the Internet as an example, the mobile phone's GPS device can be used to obtain the mobile phone's geographical location information, and the geographical location information is determined as the user's current geographical location information.

The geographic location information may specifically be latitude and longitude information.

S22: Calculate the user's moving speed based on the current geographical location information and the current login time, as well as the geographical location information and the last login time of the user when the user last logged in.

Assume that the current geographic location is _Pi = ( _lat , _Lon ), the current login time is _Ti , the geographic location at the last login is Pi _-1 = ( _lat , _Lon ), and the last login time is Ti _-1 . Then the user's moving speed is:

S23: Determine whether the user's moving speed is less than or equal to a preset threshold. If so, execute S24; otherwise, execute S28.

Assuming that the preset threshold is denoted by V _m , it is determined whether V _i ≤ _{V m} .

The moving speeds of all users may be counted, and a speed ranked within a preset threshold among all speeds may be selected as the speed threshold.

For example, statistics are collected on the moving speeds of all users, and after the statistics are collected, the moving speeds are sorted in ascending order, and then the speed at the 80% position is selected as the speed threshold.

S24: Obtain the historical activity range, and determine whether the user is a legitimate user based on the current geographic location information and the historical activity range. If so, execute S25; otherwise, execute S28.

Among them, it can be judged whether the current geographical location information is within the historical activity range. If it is, the user is a legitimate user, otherwise, he is not a legitimate user. Or,

Optionally, the probability of each historical activity range may be determined, and a probability threshold may be set. If the current geographic location information is within a historical activity range greater than the probability threshold, the user is a legitimate user; otherwise, the user is not a legitimate user.

S25: Determine the current activity range according to the current geographical location information.

Specifically, the following calculation formula can be used to determine the current activity range:

Wherein, f( _Pi ) is the current activity range, _Pi is the current geographical location information, and d and s are predetermined parameters.

Specifically, d can be determined based on the user's historical geographic location information. For example, when the user last logged in, the two points that were farthest apart were A and B, and the spatial distance between A and B can be determined as d. s can be preset.

In this embodiment, multiple s may be set, and corresponding activity range probabilities may be set for each s.

In the current state, for example, referring to FIG3 , 4 s can be set, the probability of the middle activity range is the largest, the probability of the second circle is second, and so on. According to the current position information, 4 activity ranges can be determined, and the probability of each activity range can be determined.

S26: Calculate the probability of each activity range.

If there are historical activity ranges with corresponding probabilities, the existing probabilities can be multiplied or added to the current probabilities to obtain the probability of each activity range. Taking addition as an example, suppose area D is within historical activity range D1 and within current activity range D2. The probability corresponding to D1 is P1, and the probability corresponding to D2 is P2. Then the probability of D is P1 + P2.

S27: Add the current activity range and the corresponding probability to the historical activity range to obtain an updated activity range of the user.

Assuming that the historical activity ranges include: f(P ₁ ), f(P ₂ ), and f(P ₃ ), and the current activity range is f(P _i ), then the updated user activity range is: F = {f(P ₁ ), f(P ₂ ), f(P ₃ ), ..., f(P _i )}. In addition, the probability of each activity range can be saved.

By determining the probability of each activity range, it is possible to determine whether the user is a legitimate user based on the probability of the activity range where the geographical location information of the user when logging in is located.

S28: End.

This embodiment determines the current activity range based on the user's current geographic location information. Since the geographic location information is obtained based on the positioning of the mobile device, it can be easily and concisely determined. Therefore, the current activity range can be easily determined. In addition, the user's activity range is determined based on the historical activity range and the current activity range. Therefore, the historical information can be integrated so that the user's activity range is not only related to the current activity range, but also the historical information can be considered to obtain the accurate user's activity range. In addition, the geographic location information of this embodiment can be implemented based on the mobile device used by the user, making it simple and quick to implement. Moreover, by determining the probability of each activity range, this embodiment can determine whether the logged-in user is a legitimate user based on the probability, thereby improving the security of the user account.

FIG4 is a schematic structural diagram of an apparatus for obtaining a user activity range according to another embodiment of the present application. The apparatus 40 includes an obtaining module 41 , a first determining module 42 , and an adding module 43 .

The acquisition module 41 is used to obtain the user's current geographical location information, wherein the current geographical location information is obtained by positioning the mobile device used by the user;

After the user logs in, the mobile device used by the user may be geographically positioned, for example, using a Global Positioning System (GPS) to position the mobile device, and the geographical location information obtained by positioning may be determined as the current geographical location information of the user.

A mobile device is, for example, a mobile phone or tablet computer used by a user.

Taking mobile phones as an example, since mobile phones are very popular, users can use mobile phones to access the Internet. When a user logs in to a website using a mobile phone, the website's server can trigger the GPS device of the mobile phone to work. After the GPS device obtains the geographical location information of the mobile phone, it reports the geographical location information to the website's server, so that the server determines the geographical location information obtained by the positioning as the user's current geographical location information.

The first determining module 42 is used to determine the current activity range according to the current geographical location information;

Optionally, the first determining module is specifically configured to:

Obtaining predetermined parameters for calculating the activity range;

The current activity range is determined according to the parameters and the current geographical location information.

Optionally, the first determining module is further specifically configured to:

Use the following calculation formula to determine the current activity range:

Wherein, f( _Pi ) is the current activity range, _Pi is the current geographical location information, and d and s are predetermined parameters.

Specifically, d can be determined based on the user's historical geographic location information. For example, when the user last logged in, the two points that were farthest apart were A and B, and the spatial distance between A and B can be determined as d. s can be preset.

The adding module 43 is configured to add the current activity range to the pre-acquired historical activity range to obtain an updated activity range of the user.

Assuming that the historical activity ranges include: f(P ₁ ), f(P ₂ ) and f(P ₃ ), and the current activity range is f(P _i ), then the updated activity range of the user is: F = {f(P ₁ ), f(P ₂ ), f(P ₃ ), ..., f(P _i )}.

Referring to FIG5 , in one embodiment, the device 40 further includes:

The judgment module 44 is configured to judge whether the user is a legitimate user based on the current geographic location information and the historical activity range, so as to determine the current activity range based on the current geographic location information if the user is a legitimate user.

Among them, it can be judged whether the current geographical location information is within the historical activity range. If it is, the user is a legitimate user, otherwise, he is not a legitimate user. Or,

Optionally, the probability of each historical activity range may be determined, and a probability threshold may be set. If the current geographic location information is within a historical activity range greater than the probability threshold, the user is a legitimate user; otherwise, the user is not a legitimate user.

In one embodiment, the apparatus 40 further includes:

The second determination module 45 is used to determine the probability of the current activity range so that when the user logs in next time, it is determined whether the user is a legitimate user based on the probability of the activity range where the geographic location information is located at the time of the next login and a preset probability threshold.

In this embodiment, multiple s may be set, and corresponding activity range probabilities may be set for each s.

In the current state, for example, referring to FIG3 , 4 s can be set, the probability of the middle activity range is the largest, the probability of the second circle is second, and so on. According to the current position information, 4 activity ranges can be determined, and the probability of each activity range can be determined.

If there are historical activity ranges with corresponding probabilities, the existing probabilities can be multiplied or added to the current probabilities to obtain the probability of each activity range. Taking addition as an example, suppose area D is within historical activity range D1 and within current activity range D2. The probability corresponding to D1 is P1, and the probability corresponding to D2 is P2. Then the probability of D is P1 + P2.

In one embodiment, the apparatus 40 further includes:

The third determination module 46 is used to determine the movement speed based on the current geographic location information and the current login time, as well as the geographic location information at the time of the last login and the last login time, so as to determine the current activity range based on the current geographic location information when the movement speed is less than a preset speed threshold.

Assume that the current geographic location is _Pi = ( _lat , _Lon ), the current login time is _Ti , the geographic location at the last login is Pi _-1 = ( _lat , _Lon ), and the last login time is Ti _-1 . Then the user's moving speed is:

Assuming that the preset threshold is denoted by V _m , it is determined whether V _i ≤ _{V m} .

The moving speeds of all users may be counted, and a speed ranked within a preset threshold among all speeds may be selected as the speed threshold.

For example, statistics are collected on the moving speeds of all users, and after the statistics are collected, the moving speeds are sorted in ascending order, and then the speed at the 80% position is selected as the speed threshold.

This embodiment determines the current activity range based on the user's current geographic location information. Since the geographic location information is obtained based on the positioning of the mobile device, it can be easily and concisely determined. Therefore, the current activity range can be easily determined. In addition, the user's activity range is determined based on the historical activity range and the current activity range. Therefore, the historical information can be integrated so that the user's activity range is not only related to the current activity range, but also the historical information can be considered to obtain the accurate user's activity range. In addition, the geographic location information of this embodiment can be implemented based on the mobile device used by the user, making it simple and quick to implement. Moreover, by determining the probability of each activity range, this embodiment can determine whether the logged-in user is a legitimate user based on the probability, thereby improving the security of the user account.

It should be noted that, in the description of this application, the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance. In addition, in the description of this application, unless otherwise specified, the meaning of "plurality" is two or more.

Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims (8)

1. A method for obtaining a user's activity range, characterized in that it includes: Obtain the user's current geographic location information, wherein the current geographic location information is obtained by locating the mobile device used by the user; The user's movement speed is calculated based on the current geographical location and current login time, as well as the geographical location and login time of the last login. Determine whether the user's movement speed is less than or equal to a preset threshold; If it is less than or equal to, then the historical activity range is obtained, and the user's legitimacy is determined based on the current geographical location information and the historical activity range; When the user is a legitimate user, the current activity range is determined based on the current geographical location information; The current activity range is added to the previously acquired historical activity range to obtain the updated activity range of the user. 2. The method according to claim 1, characterized in that, after determining the current activity range based on the current geographical location information, the method further includes: The probability of the current activity range is determined so that when the user logs in again, the probability of the activity range where the user's geographical location information is located at the time of the next login and a preset probability threshold are used to determine whether the user is a legitimate user. 3. The method according to claim 1, wherein determining the current activity range based on the current geographical location information includes: Obtain predetermined parameters for calculating the activity range; The current activity range is determined based on the parameters and the current geographical location information. 4. The method according to claim 3, characterized in that, determining the current activity range based on the parameters and the current geographical location information includes: The current activity range is determined using the following calculation formula: Where f(P_{_i} ) is the current activity range, P _{_i} is the current geographic location information, and d and s are predetermined parameters. 5. A device for acquiring the range of user activity, characterized in that it comprises: The acquisition module is used to acquire the user's current geographical location information, wherein the current geographical location information is obtained by locating the mobile device used by the user; the first determination module is used to determine the current activity range based on the current geographical location information. An add module is used to add the current activity range to a pre-acquired historical activity range to obtain the updated activity range of the user; The device further includes: a third determining module, configured to calculate the user's movement speed based on the current geographical location information and the current login time, as well as the geographical location information and the previous login time; and determine whether the user's movement speed is less than or equal to a preset threshold. The judgment module is used to obtain the historical activity range if it is less than or equal to the current geographical location information and the historical activity range, and to determine whether the user is a legitimate user, so that when the user is a legitimate user, the current activity range can be determined based on the current geographical location information. 6. The apparatus according to claim 5, characterized in that it further comprises: The second determining module is used to determine the probability of the current activity range, so that when the user logs in again, it can determine whether the user is a legitimate user based on the probability of the activity range where the user's geographical location information is located at the time of the next login and a preset probability threshold. 7. The apparatus according to claim 5, wherein the first determining module is specifically used for: Obtain predetermined parameters for calculating the activity range; The current activity range is determined based on the parameters and the current geographical location information. 8. The apparatus according to claim 7, wherein the first determining module is further specifically used for: The current activity range is determined using the following calculation formula: Where f(P_{_i} ) is the current activity range, P _{_i} is the current geographic location information, and d and s are predetermined parameters.