CN112487286A - Target user determination method, device, system, electronic equipment and medium - Google Patents
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Abstract
The application provides a target user determination method, a target user determination device, electronic equipment and a target user determination medium, which are applied to the technical field of intelligent passenger obtaining, wherein the method comprises the following steps: the method and the system have the advantages that the first application client is determined based on the data disclosed by the third-party application platform, then the target user (such as a user with financial business requirements) is determined based on the information issued by the second application user associated with the first user, automatic customer acquisition is realized, the customer acquisition efficiency is improved, the customer acquisition cost is reduced, and in addition, the problem of compliance in data purchase from the third-party platform is avoided.
Description
Technical Field
The present application relates to the field of intelligent passenger obtaining technologies, and in particular, to a target user determination method, apparatus, system, electronic device, and medium.
Background
At present, commercial banks mainly acquire new customers by various online and offline activities and cooperation with various large internet platforms, but with the enhancement of personal information protection awareness of customers in recent years, the commercial banks and the large internet platforms are increasingly difficult to share data and customer information, for example, a great compliance risk exists at present when user data is directly purchased from an operator or an e-commerce platform, and the commercial banks are increasingly difficult to acquire the new customers through online channels.
Disclosure of Invention
The application provides a target user determination method, a device, a system, electronic equipment and a medium, which are used for automatically determining a target user (such as a user with financial business requirements) based on data disclosed by a third-party application platform, and compared with the traditional method for obtaining customers from an offline channel or online platform advertisement, the method is more efficient and more economical in customer obtaining, and in addition, the problem of compliance in data purchase from the third-party platform is avoided. The technical scheme adopted by the application is as follows:
in a first aspect, a target user determination method is provided, including:
determining at least one first application user based on public data of a third-party application platform, wherein the public data comprises an application user name, an application user profile and a fan number;
determining a plurality of second application users associated with the first application user based on the at least one first application user;
acquiring information issued by each second application user on a third-party application platform;
and determining at least one target user based on the information released by each second application user on the third-party application platform.
Optionally, determining at least one target user based on information published by each second application user on the third-party application platform includes:
screening and determining information conforming to the target theme based on information issued by each second application user on the third-party application platform;
and determining the user corresponding to the information conforming to the target theme as the target user.
Optionally, screening and determining information meeting the target topic based on information published by each second application user on the third-party application platform includes:
determining the theme of the information published on the third-party application platform through an LDA topic model based on the information published on the third-party application platform by each second application user;
and determining information conforming to the target theme based on the determined theme of the information published on the third-party application platform.
Optionally, the information published on the third-party application platform includes at least one of published text, comment text, forwarded text, and praise text.
Optionally, screening and determining information published on the third-party application platform, which meets the target topic, based on information published on the third-party application platform by each second application user, includes:
screening and determining comment texts conforming to the target subject for the comment texts of the first application users within a first threshold time period based on the second application users;
determining the user corresponding to the information conforming to the target theme as the target user, including:
determining users corresponding to the comment texts which accord with the target theme as candidate users;
acquiring information which is issued by the candidate user in a second preset time period and accords with the target theme by the third-party application platform;
determining the scores of the candidate users based on the information conforming to the target subject and a predetermined rule;
and when the score of the candidate user meets a preset threshold score, determining the candidate user as the target user.
Optionally, the method further comprises:
and determining push content aiming at the target user, and recommending the push content to the target user.
Optionally, the target subject matter is a financial subject matter.
In a second aspect, a target user determination apparatus is provided, including:
the first determining module is used for determining at least one first application user based on public data of the third-party application platform, wherein the public data comprises an application user name, an application user profile and fan number;
a second determination module to determine a plurality of second application users associated with the first application user based on the at least one first application user;
the acquisition module is used for acquiring information issued by each second application user on the third-party application platform;
and the third determining module is used for determining at least one target user based on the information issued by each second application user on the third-party application platform.
Optionally, the third determining module includes:
the first determining unit is used for screening and determining information which accords with the target theme based on the information which is issued by each second application user on the third-party application platform;
and the second determining unit is used for determining the user corresponding to the information conforming to the target theme as the target user.
Optionally, the first determination unit includes:
the first determining subunit is used for determining the theme of the information issued on the third-party application platform through an LDA topic model based on the information issued on the third-party application platform by each second application user;
and the second determining subunit is used for determining the information which accords with the target theme based on the determined theme of the information published on the third-party application platform.
Optionally, the information published on the third-party application platform includes at least one of published text, comment text, forwarded text, and praise text.
Optionally, the first determination unit includes:
the third determining subunit is used for screening and determining comment texts conforming to the target theme aiming at the comment texts of the first application users within the first threshold time period based on the second application users;
the second determination unit includes:
the fourth determining subunit is used for determining the user corresponding to the comment text conforming to the target theme as a candidate user;
the acquisition subunit is used for acquiring information which is issued by the candidate user in a second preset time period and accords with the target theme on the third-party application platform;
a fifth determining subunit, configured to determine a score of the candidate user based on the information conforming to the target topic and a predetermined rule;
and a sixth determining subunit, configured to determine the candidate user as the target user when the score of the candidate user satisfies the predetermined threshold score.
Optionally, the apparatus further comprises:
and the fourth determination module is used for determining the push content aiming at the target user and recommending the push content to the target user.
Optionally, the target subject matter is a financial subject matter.
In a third aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: the target user determination method shown in the first aspect is performed.
In a fourth aspect, a computer-readable storage medium is provided, which is used for storing computer instructions, which when run on a computer, make the computer perform the target user determination method shown in the first aspect.
Compared with the traditional customer obtaining mode of obtaining customers through an offline channel or online platform advertisement, the method determines at least one first application user through public data based on a third-party application platform, wherein the public data comprises application user names, application user profiles and fan numbers; determining a plurality of second application users associated with the first application user based on the at least one first application user; acquiring information issued by each second application user on a third-party application platform; and determining at least one target user based on the information released by each second application user on the third-party application platform. The method and the system have the advantages that the first application client is determined based on the data disclosed by the third-party application platform, then the target user (such as a user with financial business requirements) is determined based on the information issued by the second application user associated with the first user, automatic customer acquisition is realized, the customer acquisition efficiency is improved, the customer acquisition cost is reduced, and in addition, the problem that the data purchased from the third-party platform is in compliance is avoided.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a target user determination method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a target user determination device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a target user determination method, where the method includes:
step S101, determining at least one first application user based on public data of a third-party application platform, wherein the public data comprises an application user name, an application user profile and a fan number;
step S102, determining a plurality of second application users associated with the first application user based on at least one first application user; the second application user may be preliminarily screened, for example, a non-individual user (where the non-individual user is not a target object of the service) may be removed, and for example, a target topic is a financial topic, and some users related to the finance and economics of the television station may be removed.
Step S103, acquiring information issued by each second application user on a third-party application platform;
and step S104, determining at least one target user based on the information issued by each second application user on the third-party application platform.
Specifically, public data of the third-party application platform can be acquired through a crawler technology or an interface provided by the third-party application platform; the third-party application platform may be one or multiple, such as a microblog, comment, tremble, fast hand, micro-view, and the like, wherein the public data includes, but is not limited to, an application user name, an application user profile, fan number, and praise number; specifically, the first application user may be determined according to the name of the application user, the profile of the application user, the attention number, and the like, wherein the first application user may be a target topic-related blogger (microblader, anchor), such as a financial topic-related blogger.
Illustratively, a third-party application is taken as a microblog, and a plurality of second application users related to the first application users are determined based on at least one first application user; specifically, an application user having a comment, forward, or attention relationship with the first application user may be used as the second application user.
Then, acquiring information issued by each second application user on a third-party application platform; the published information includes, but is not limited to, a microblog published by a user (published text), a comment published by a user (comment text), a forwarded text, and a comment text. At least one target user may then be determined based on information published by each second application user at the third party application platform according to natural language understanding techniques.
If the third-party application is a short video platform such as a tremble platform and a fast-hand platform, the corresponding video can be converted into a corresponding text, and the corresponding published text, forwarded text and complied text of the user are the corresponding text obtained by converting the corresponding short video.
Compared with the prior art in which a customer is obtained through a traditional offline channel or an online platform advertisement delivery method, the method for determining the target user determines at least one first application user through public data based on a third-party application platform, wherein the public data comprises an application user name, an application user profile and a fan number; determining a plurality of second application users associated with the first application user based on the at least one first application user; acquiring information issued by each second application user on a third-party application platform; and determining at least one target user based on the information released by each second application user on the third-party application platform. The method and the system have the advantages that the first application client is determined based on the data disclosed by the third-party application platform, then the target user (such as a user with financial business requirements) is determined based on the information issued by the second application user associated with the first user, automatic customer acquisition is realized, the customer acquisition efficiency is improved, the customer acquisition cost is reduced, and in addition, the problem that the data purchased from the third-party platform is in compliance is avoided.
The embodiment of the present application provides a possible implementation manner, and specifically, determining at least one target user based on information issued by each second application user on a third party application platform includes:
screening and determining information conforming to the target theme based on information issued by each second application user on the third-party application platform;
and determining the user corresponding to the information conforming to the target theme as the target user. If the topic of the published message is A, B, C, D, wherein A, C is the target topic, the user corresponding to the message with the topic of A, C is determined as the target user.
Specifically, the topic of the published information may be determined by natural language understanding techniques; specifically, the topic of the information published on the third-party application platform may be determined through an LDA topic model based on the information published on the third-party application platform by each second application user, and then the information conforming to the target topic may be determined based on the determined topic of the information published on the third-party application platform. The lda (latent Dirichlet allocation) is a document topic generation model, which is also called a three-layer bayesian probability model, and includes three layers of structures, i.e., words, topics, and documents. LDA is an unsupervised machine learning technique that can be used to identify underlying topic information in large-scale document collections (document collections) or corpora (corpus). It adopts bag of words (bag of words) method, which treats each document as a word frequency vector, thereby converting text information into digital information easy to model. The bag-of-words approach does not take into account word-to-word ordering, which simplifies the complexity of the problem and also provides opportunities for model improvement. Each document represents a probability distribution of topics, and each topic represents a probability distribution of words.
The embodiment of the present application provides a possible implementation manner, and the screening and determining, based on the information published by each second application user on the third-party application platform, the information published on the third-party application platform, which conforms to the target topic, includes:
screening and determining comment texts conforming to the target subject for the comment texts of the first application users within a first threshold time period based on the second application users;
determining the user corresponding to the information conforming to the target theme as the target user, including:
determining users corresponding to the comment texts which accord with the target theme as candidate users;
acquiring information which is issued by the candidate user in a second preset time period and accords with the target theme by the third-party application platform;
determining the scores of the candidate users based on the information conforming to the target subject and a predetermined rule;
and when the score of the candidate user meets a preset threshold score, determining the candidate user as the target user.
Illustratively (taking a third-party application as an example of a microblog), comment information of each second application user for the first application user within three days is obtained, then the subject of each comment information is determined, and a comment corresponding user with the subject conforming to a target subject (such as a financial subject) is used as a candidate user, so that the first application user is screened, and subsequent data processing amount is reduced. And then, acquiring information which is issued by each candidate user on the third-party application platform within one month (the second preset time period can be adjusted according to the situation), wherein the information issued by the candidate user can be acquired first, and then the information issued on the third-party application platform and conforming to the target theme is determined based on the theme of the determined information. Wherein, the scoring of the candidate users can be realized by the following formula,
wherein S is the value of the content released by the user historical microblog,
the microblog type coefficient is, t is a time difference coefficient of the microblog from the current time, and P is a total value score of the customer. The candidate user is then determined to be the target user when the score of the candidate user satisfies a predetermined threshold score.
The implementation of the present application provides a possible implementation manner, and the method further includes:
and determining push content aiming at the target user, and recommending the push content to the target user.
Example two
Another target user determination apparatus is provided in the embodiment of the present application, as shown in fig. 2, the apparatus 20 includes:
a first determining module 201, configured to determine at least one first application user based on public data of the third-party application platform, where the public data includes an application user name, an application user profile, and a fan count;
a second determination module 202 for determining a plurality of second application users associated with the first application user based on the at least one first application user;
the obtaining module 203 is configured to obtain information issued by each second application user on the third-party application platform;
and a third determining module 204, configured to determine at least one target user based on information published by each second application user on the third-party application platform.
Optionally, the third determining module includes:
the first determining unit is used for screening and determining information which accords with the target theme based on the information which is issued by each second application user on the third-party application platform;
and the second determining unit is used for determining the user corresponding to the information conforming to the target theme as the target user.
Optionally, the first determination unit includes:
the first determining subunit is used for determining the theme of the information issued on the third-party application platform through an LDA topic model based on the information issued on the third-party application platform by each second application user;
and the second determining subunit is used for determining the information which accords with the target theme based on the determined theme of the information published on the third-party application platform.
Optionally, the information published on the third-party application platform includes at least one of published text, comment text, forwarded text, and praise text.
Optionally, the first determination unit includes:
the third determining subunit is used for screening and determining comment texts conforming to the target theme aiming at the comment texts of the first application users within the first threshold time period based on the second application users;
the second determination unit includes:
the fourth determining subunit is used for determining the user corresponding to the comment text conforming to the target theme as a candidate user;
the acquisition subunit is used for acquiring information which is issued by the candidate user in a second preset time period and accords with the target theme on the third-party application platform;
a fifth determining subunit, configured to determine a score of the candidate user based on the information conforming to the target topic and a predetermined rule;
and a sixth determining subunit, configured to determine the candidate user as the target user when the score of the candidate user satisfies the predetermined threshold score.
Optionally, the apparatus further comprises:
and the fourth determination module is used for determining the push content aiming at the target user and recommending the push content to the target user.
Optionally, the target subject matter is a financial subject matter.
Compared with the prior art in which a user is obtained through a traditional offline channel or an online platform advertisement is delivered, the target user determining device determines at least one first application user through public data based on a third-party application platform, wherein the public data comprises application user names, application user profiles and fan numbers; determining a plurality of second application users associated with the first application user based on the at least one first application user; acquiring information issued by each second application user on a third-party application platform; and determining at least one target user based on the information released by each second application user on the third-party application platform. The method and the system have the advantages that the first application client is determined based on the data disclosed by the third-party application platform, then the target user (such as a user with financial business requirements) is determined based on the information issued by the second application user associated with the first user, automatic customer acquisition is realized, the customer acquisition efficiency is improved, the customer acquisition cost is reduced, and in addition, the problem that the data purchased from the third-party platform is in compliance is avoided.
The embodiment of the present application provides an electronic device suitable for the above method embodiment, and specific implementation manners and technical effects are not described herein again.
EXAMPLE III
An embodiment of the present application provides an electronic device, as shown in fig. 3, an electronic device 30 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein processor 301 is coupled to memory 303, such as via bus 302. Further, the electronic device 30 may also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 30 is not limited to the embodiment of the present application. The processor 301 is applied to the embodiment of the present application, and is used to implement the functions of the modules shown in fig. 2. The transceiver 304 includes a receiver and a transmitter.
The processor 301 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the functions of the apparatus provided by the embodiment shown in fig. 2.
Compared with the traditional method for obtaining the customers through the offline channel or the online platform advertisement, the method for obtaining the customers through the online platform advertisement has the advantages that at least one first application user is determined through public data based on a third-party application platform, and the public data comprises application user names, application user profiles and fan numbers; determining a plurality of second application users associated with the first application user based on the at least one first application user; acquiring information issued by each second application user on a third-party application platform; and determining at least one target user based on the information released by each second application user on the third-party application platform. The method and the system have the advantages that the first application client is determined based on the data disclosed by the third-party application platform, then the target user (such as a user with financial business requirements) is determined based on the information issued by the second application user associated with the first user, automatic customer acquisition is realized, the customer acquisition efficiency is improved, the customer acquisition cost is reduced, and in addition, the problem that the data purchased from the third-party platform is in compliance is avoided.
The embodiment of the present application provides an electronic device suitable for the above method embodiment, and specific implementation manners and technical effects are not described herein again.
Example four
The present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the computer program implements the target user determination method shown in the foregoing embodiments.
The application provides a computer-readable storage medium, compared with the prior art in which a user is obtained through a traditional offline channel or a traditional method for obtaining the user through online platform advertisement, the application determines at least one first application user through public data based on a third-party application platform, wherein the public data comprises an application user name, an application user profile and a fan number; determining a plurality of second application users associated with the first application user based on the at least one first application user; acquiring information issued by each second application user on a third-party application platform; and determining at least one target user based on the information released by each second application user on the third-party application platform. The method and the system have the advantages that the first application client is determined based on the data disclosed by the third-party application platform, then the target user (such as a user with financial business requirements) is determined based on the information issued by the second application user associated with the first user, automatic customer acquisition is realized, the customer acquisition efficiency is improved, the customer acquisition cost is reduced, and in addition, the problem that the data purchased from the third-party platform is in compliance is avoided.
The embodiment of the present application provides a computer-readable storage medium suitable for the above method embodiment, and specific implementation manners and technical effects are not described herein again.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A method for target user determination, comprising:
determining at least one first application user based on public data of a third-party application platform, wherein the public data comprises an application user name, an application user profile and a fan number;
determining a plurality of second application users associated with the first application user based on at least one of the first application users;
acquiring information issued by each second application user on the third-party application platform;
and determining at least one target user based on the information published by each second application user on the third-party application platform.
2. The method of claim 1, wherein determining at least one target user based on information published by each second application user on the third-party application platform comprises:
screening and determining information conforming to a target theme based on information issued by each second application user on the third-party application platform;
and determining the user corresponding to the information conforming to the target theme as the target user.
3. The method of claim 2, wherein the screening and determining the information meeting the target topic based on the information published by each second application user on the third-party application platform comprises:
determining the subject of the information published on the third-party application platform through an LDA topic model based on the information published on the third-party application platform by each second application user;
and determining information conforming to the target theme based on the determined theme of the information published on the third-party application platform.
4. The method of claim 3, wherein the information published on the third-party application platform comprises at least one of published text, comment text, forward text, and compliment text.
5. The method according to claim 4, wherein the screening and determining the information published on the third-party application platform that meets the target topic based on the information published on the third-party application platform by each of the second application users comprises:
screening and determining comment texts conforming to target topics for the comment texts of the first application users within a first threshold time period based on the second application users;
the determining the user corresponding to the information conforming to the target theme as the target user includes:
determining users corresponding to the comment texts which accord with the target theme as candidate users;
acquiring information which is issued by the candidate user in a second preset time period and accords with a target theme by the third-party application platform;
determining the score of the candidate user based on the information conforming to the target subject and a predetermined rule;
determining the candidate user as a target user when the score of the candidate user satisfies a predetermined threshold score.
6. The method according to any one of claims 1-5, further comprising:
determining push content aiming at the target user, and recommending the push content to the target user.
7. The method of claim 6, wherein the target topic is a financial topic.
8. A target user determination apparatus, comprising:
the system comprises a first determination module, a second determination module and a third-party application platform, wherein the first determination module is used for determining at least one first application user based on public data of the third-party application platform, and the public data comprises an application user name, an application user profile and fan number;
a second determination module to determine a plurality of second application users associated with the first application user based on at least one of the first application users;
the acquisition module is used for acquiring information issued by each second application user on the third-party application platform;
and the third determining module is used for determining at least one target user based on the information issued by each second application user on the third-party application platform.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing the target user determination method according to any of claims 1 to 7.
10. A computer-readable storage medium for storing computer instructions which, when executed on a computer, cause the computer to perform the target user determination method of any of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115017343A (en) * | 2022-06-29 | 2022-09-06 | 三六零科技集团有限公司 | Information transmission method, device, device and storage medium |
| CN115311048A (en) * | 2022-08-04 | 2022-11-08 | 北京沃东天骏信息技术有限公司 | Information processing method and device and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090157476A1 (en) * | 2007-12-18 | 2009-06-18 | Verizon Data Services Inc. | Marketing campaign management |
| CN104572797A (en) * | 2014-05-12 | 2015-04-29 | 深圳市智搜信息技术有限公司 | Individual service recommendation system and method based on topic model |
| US9888086B1 (en) * | 2013-03-15 | 2018-02-06 | Google Llc | Providing association recommendations to users |
| CN109544266A (en) * | 2018-10-19 | 2019-03-29 | 中国平安人寿保险股份有限公司 | Product data method for pushing, device and computer readable storage medium |
| CN110246012A (en) * | 2019-06-14 | 2019-09-17 | 哈尔滨哈银消费金融有限责任公司 | Consumer finance Products Show method, apparatus and equipment based on social data |
| CN110363593A (en) * | 2019-07-19 | 2019-10-22 | 浙江大搜车软件技术有限公司 | Network Data Control method, apparatus, computer equipment and storage medium |
| CN110737846A (en) * | 2019-10-28 | 2020-01-31 | 北京字节跳动网络技术有限公司 | social interface recommendation method and device, electronic equipment and storage medium |
| CN111311332A (en) * | 2020-02-28 | 2020-06-19 | 北京互金新融科技有限公司 | User data processing method and device |
| CN111428217A (en) * | 2020-04-12 | 2020-07-17 | 中信银行股份有限公司 | Method and device for identifying cheat group, electronic equipment and computer readable storage medium |
| CN111914169A (en) * | 2020-07-16 | 2020-11-10 | 中信银行股份有限公司 | Product recommendation method and device, electronic equipment and computer-readable storage medium |
| CN111966890A (en) * | 2020-06-30 | 2020-11-20 | 北京百度网讯科技有限公司 | Text-based event pushing method and device, electronic equipment and storage medium |
-
2020
- 2020-11-23 CN CN202011319672.0A patent/CN112487286B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090157476A1 (en) * | 2007-12-18 | 2009-06-18 | Verizon Data Services Inc. | Marketing campaign management |
| US9888086B1 (en) * | 2013-03-15 | 2018-02-06 | Google Llc | Providing association recommendations to users |
| CN104572797A (en) * | 2014-05-12 | 2015-04-29 | 深圳市智搜信息技术有限公司 | Individual service recommendation system and method based on topic model |
| CN109544266A (en) * | 2018-10-19 | 2019-03-29 | 中国平安人寿保险股份有限公司 | Product data method for pushing, device and computer readable storage medium |
| CN110246012A (en) * | 2019-06-14 | 2019-09-17 | 哈尔滨哈银消费金融有限责任公司 | Consumer finance Products Show method, apparatus and equipment based on social data |
| CN110363593A (en) * | 2019-07-19 | 2019-10-22 | 浙江大搜车软件技术有限公司 | Network Data Control method, apparatus, computer equipment and storage medium |
| CN110737846A (en) * | 2019-10-28 | 2020-01-31 | 北京字节跳动网络技术有限公司 | social interface recommendation method and device, electronic equipment and storage medium |
| CN111311332A (en) * | 2020-02-28 | 2020-06-19 | 北京互金新融科技有限公司 | User data processing method and device |
| CN111428217A (en) * | 2020-04-12 | 2020-07-17 | 中信银行股份有限公司 | Method and device for identifying cheat group, electronic equipment and computer readable storage medium |
| CN111966890A (en) * | 2020-06-30 | 2020-11-20 | 北京百度网讯科技有限公司 | Text-based event pushing method and device, electronic equipment and storage medium |
| CN111914169A (en) * | 2020-07-16 | 2020-11-10 | 中信银行股份有限公司 | Product recommendation method and device, electronic equipment and computer-readable storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 涂海丽;唐晓波;谢力;: "基于在线评论的用户需求挖掘模型研究", 情报学报, 24 October 2015 (2015-10-24) * |
| 王秋森;俞浩亮;徐浩诚;冯旭鹏;刘利军;黄青松;: "基于LDA的微博用户粉丝亲密度评价模型", 计算机应用与软件, 15 October 2016 (2016-10-15) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115017343A (en) * | 2022-06-29 | 2022-09-06 | 三六零科技集团有限公司 | Information transmission method, device, device and storage medium |
| CN115311048A (en) * | 2022-08-04 | 2022-11-08 | 北京沃东天骏信息技术有限公司 | Information processing method and device and storage medium |
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|---|---|
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