CN112487286B - Target user determining method, device, system, electronic equipment and medium - Google Patents
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Abstract
The application provides a target user determining method, a target user determining device, electronic equipment and a target user determining medium, which are applied to the technical field of intelligent acquisition, wherein the target user determining method comprises the following steps: the first application client is determined based on the data disclosed by the third-party application platform, and then the target user (such as a user with financial service requirements) is determined based on the information published by the second application user associated with the first user, so that automatic acquisition is realized, the efficiency of acquisition is improved, the acquisition cost is reduced, and in addition, the problem of compliance in purchasing data from the third-party platform is avoided.
Description
Technical Field
The application relates to the technical field of intelligent acquisition, in particular to a target user determining method, a device, a system, electronic equipment and a medium.
Background
At present, commercial banks mainly acquire new customers by means of various online and offline activities and cooperation with large internet platforms, but with the enhancement of personal information protection consciousness of customers in recent years, it is becoming more and more difficult for commercial banks and large internet platforms to share data and customer information, for example, there is a great risk of compliance when purchasing user data directly from an operator or an e-commerce platform, and it is becoming more and more difficult for commercial banks to acquire new customers through online channels.
Disclosure of Invention
The application provides a target user determining 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 service requirements) based on data disclosed by a third party application platform. The technical scheme adopted by the application is as follows:
in a first aspect, a target user determining 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 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;
At least one target user is determined based on information published by each second application user at the third party application platform.
Optionally, determining at least one target user based on the information issued by each second application user on the third party application platform includes:
Screening and determining information conforming to a target theme based on information issued by each second application user on a third party application platform;
and determining the user corresponding to the information meeting the target theme as a target user.
Optionally, the information meeting the target theme is screened and determined based on the information issued by each second application user on the third party application platform, which comprises the following steps:
Determining the subject of the information released on the third party application platform through an LDA topic model based on the information released 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 posted at the third party application platform includes at least one of posting text, comment text, forwarding text, praise text.
Optionally, the step of screening and determining the information published on the third party application platform according with the target theme based on the information published on the third party application platform by each second application user includes:
Screening and determining comment texts conforming to a target theme based on the comment texts of the first application users within a first threshold time period of each second application user;
determining the user corresponding to the information meeting the target theme as the target user comprises the following steps:
Determining users corresponding to comment texts meeting the target theme as candidate users;
acquiring information which accords with a target theme and is issued by a third party application platform within a second preset time period of a candidate user;
Determining a score for the candidate user based on the information conforming to the target topic and a predetermined rule;
when the score of the candidate user satisfies the predetermined threshold score, the candidate user is determined as the target user.
Optionally, the method further comprises:
Push content for the target user is determined and recommended to the target user.
Optionally, the target subject is a financial subject.
In a second aspect, there is provided a target user determining apparatus comprising:
The first determining module is used for determining at least one first application user based on the public data of the third party application platform, wherein the public data comprises application user names, application user profiles and fan numbers;
A second determining module for determining 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 released 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 conforming to a target theme based on the information 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 a target user.
Optionally, the first determining unit includes:
the first determining subunit is used for determining the subjects of the information released on the third-party application platform through the LDA topic model based on the information released on the third-party application platform by each second application user;
and the second determining subunit is used for determining the information conforming to the target theme based on the determined theme of the information issued by the third-party application platform.
Optionally, the information posted at the third party application platform includes at least one of posting text, comment text, forwarding text, praise text.
Optionally, the first determining unit includes:
the third determining subunit is used for screening and determining comment texts conforming to the target theme based on the comment texts of the first application users within the first threshold time period of each second application user;
The second determination unit includes:
a fourth determining subunit, configured to determine, as a candidate user, a user corresponding to the comment text that meets the target theme;
the obtaining subunit is used for obtaining information which accords with the target theme and is issued by the third party application platform within a second preset time period of the candidate user;
a fifth determining subunit for determining scores of candidate users based on the information conforming to the target subject 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 determining 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 is a financial subject.
In a third aspect, an electronic device is provided, the 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 applications configured to: the target user determination method shown in the first aspect is performed.
In a fourth aspect, there is provided a computer readable storage medium storing computer instructions that, when run on a computer, cause the computer to perform the target user determination method of the first aspect.
Compared with the prior art in which the target user is obtained through a traditional offline channel or the online platform advertisement is put, the method determines at least one first application user based on the public data of a third party application platform, wherein the public data comprises application user names, application user profiles and vermicelli 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; at least one target user is determined based on information published by each second application user at the third party application platform. The first application client is determined based on the data disclosed by the third-party application platform, and then the target user (such as a user with financial service requirements) is determined based on the information published by the second application user associated with the first user, so that automatic acquisition is realized, the efficiency of acquisition is improved, the cost of acquisition is reduced, and in addition, the problem of compliance in purchasing data from the third-party platform is avoided.
Additional aspects and advantages of the 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 application.
Drawings
The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a target user determination method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a target user determining apparatus 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
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.
As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. 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. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides a target user determining method, which includes:
step S101, determining at least one first application user based on the public data of a third party application platform, wherein the public data comprises application user names, application user profiles and fan numbers;
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 initially screened, for example, a non-personal user (where the non-personal user is not a target object of the service) may be removed, for example, a target topic is a financial topic, and some users related to television station finance may be removed.
Step S103, information issued by each second application user on a third party application platform is obtained;
Step S104, at least one target user is determined based on the information issued by each second application user on the third party application platform.
Specifically, the public data of the third party application platform can be obtained through a crawler technology or an interface provided by the third party application platform; the third party application platform can be one or a plurality of application platforms, such as microblog, knowledgeable, tremble, fast-handed, micro-vision and the like, wherein the public data comprises but is not limited to application user names, application user profiles, vermicelli numbers and praise numbers; 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 endorsement number, where the first application user may be a target topic related blogger (e.g., a microblog owner, a host), such as a financial topic related blogger.
Illustratively, the third party application is used as a microblog, and a plurality of second application users associated with the first application user are determined based on at least one first application user; specifically, an application user having a comment, forwarding, and attention relationship with the first application user may be used as the second application user.
Then, information issued by each second application user on a third party application platform is obtained; the posted information includes, but is not limited to, microblogs (posting text), posted comments (comment text), forwarded text, and praise text. At least one target user may then be determined based on the information published by the respective second application user at the third party application platform in accordance with natural language understanding techniques.
If the third party application is a short video platform such as tremble sound, fast handhold and the like, the video can be correspondingly converted into corresponding texts, and the corresponding published text, the forwarded text and the praise text of the corresponding user are corresponding texts obtained by correspondingly converting the short video.
Compared with the prior art in which the passengers are obtained through traditional off-line channels or the passengers are obtained through on-line platform advertisement delivery, the method for determining the target users determines at least one first application user based on the public data of the third party application platform, wherein the public data comprises application user names, application user profiles and vermicelli 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; at least one target user is determined based on information published by each second application user at the third party application platform. The first application client is determined based on the data disclosed by the third-party application platform, and then the target user (such as a user with financial service requirements) is determined based on the information published by the second application user associated with the first user, so that automatic acquisition is realized, the efficiency of acquisition is improved, the cost of acquisition is reduced, and in addition, the problem of compliance in purchasing data from the third-party platform is avoided.
The embodiment of the application provides a possible implementation manner, specifically, determining at least one target user based on information issued by each second application user on a third party application platform, including:
Screening and determining information conforming to a target theme based on information issued by each second application user on a third party application platform;
and determining the user corresponding to the information meeting the target theme as a target user. If the topic of the published message is A, B, C, D and A, C is a target topic, the user corresponding to the message with topic A, C is determined as the target user.
Specifically, the subject of the release information can be determined through natural language understanding technology; specifically, the topic of the information published on the third-party application platform can be determined through the 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 is 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, also called a three-layer Bayesian probability model, and comprises word, topic and document three-layer structures. LDA is an unsupervised machine learning technique that can be used to identify underlying topic information in a large-scale document set (document collection) or corpus (corpus). It employs a bag of words (bag ofwords) method that treats each document as a word frequency vector, thereby converting text information into digital information that is easy to model. But the bag of words approach does not take into account word-to-word order, which simplifies the complexity of the problem and also provides a trigger for model improvement. Each document represents a probability distribution of topics, and each topic represents a probability distribution of words.
The embodiment of the application provides a possible implementation manner, which screens and determines the information issued on a third party application platform according with a target theme based on the information issued on the third party application platform by each second application user, and comprises the following steps:
Screening and determining comment texts conforming to a target theme based on the comment texts of the first application users within a first threshold time period of each second application user;
determining the user corresponding to the information meeting the target theme as the target user comprises the following steps:
Determining users corresponding to comment texts meeting the target theme as candidate users;
acquiring information which accords with a target theme and is issued by a third party application platform within a second preset time period of a candidate user;
Determining a score for the candidate user based on the information conforming to the target topic and a predetermined rule;
when the score of the candidate user satisfies the predetermined threshold score, the candidate user is determined as the target user.
By taking a third-party application as a microblog as an example, comment information of each second application user for the first application user within three days is obtained, then the theme of each comment information is determined, and the comment corresponding user with the theme meeting the target theme (such as a financial theme) is taken as a candidate user, so that screening of the first application user is realized, and the subsequent data processing amount is reduced. And then acquiring information which is released by each candidate user in the third party application platform and accords with the target theme within one month (the second preset time period can be adjusted according to the situation), wherein the information released by the candidate user can be acquired first, and then the information which is released by the third party application platform and accords with the target theme is determined based on the determined theme of the information. Wherein the scoring of candidate users can be achieved by the following formula,
Wherein S is the value score of the content released by the user history microblog, i to n are the number codes of information which are released by the user and accord with the theme, theta is a microblog type coefficient, t is a time difference coefficient of the microblog to date, and P is the total score of the current value of the client. The candidate user is then determined to be the target user when the score of the candidate user meets a predetermined threshold score.
The implementation of the application provides a possible implementation manner, and the method further comprises the following steps:
Push content for the target user is determined and recommended to the target user.
Example two
Another object user determining apparatus according to an embodiment of the present application is shown in fig. 2, and the apparatus 20 includes:
A first determining module 201, configured to determine at least one first application user based on public data of a third party application platform, where the public data includes an application user name, an application user profile, and a fan number;
A second determining 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 acquiring module 203 is configured to acquire information published by each second application user on a third party application platform;
A third determining module 204 is 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 conforming to a target theme based on the information 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 a target user.
Optionally, the first determining unit includes:
the first determining subunit is used for determining the subjects of the information released on the third-party application platform through the LDA topic model based on the information released on the third-party application platform by each second application user;
and the second determining subunit is used for determining the information conforming to the target theme based on the determined theme of the information issued by the third-party application platform.
Optionally, the information posted at the third party application platform includes at least one of posting text, comment text, forwarding text, praise text.
Optionally, the first determining unit includes:
the third determining subunit is used for screening and determining comment texts conforming to the target theme based on the comment texts of the first application users within the first threshold time period of each second application user;
The second determination unit includes:
a fourth determining subunit, configured to determine, as a candidate user, a user corresponding to the comment text that meets the target theme;
the obtaining subunit is used for obtaining information which accords with the target theme and is issued by the third party application platform within a second preset time period of the candidate user;
a fifth determining subunit for determining scores of candidate users based on the information conforming to the target subject 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 determining 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 is a financial subject.
Compared with the prior art in which the passengers are obtained through traditional off-line channels or the passengers are obtained through on-line platform advertisement delivery, the target user determining device determines at least one first application user based on the public data of a third party application platform, wherein the public data comprises application user names, application user profiles and vermicelli 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; at least one target user is determined based on information published by each second application user at the third party application platform. The first application client is determined based on the data disclosed by the third-party application platform, and then the target user (such as a user with financial service requirements) is determined based on the information published by the second application user associated with the first user, so that automatic acquisition is realized, the efficiency of acquisition is improved, the cost of acquisition is reduced, and in addition, the problem of compliance in purchasing data from the third-party platform is avoided.
The embodiment of the application provides an electronic device suitable for the embodiment of the method, and specific implementation and technical effects are not repeated here.
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 the processor 301 is coupled to the memory 303, such as via a bus 302. Further, the electronic device 30 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 is not limited to the embodiment of the present application. The processor 301 is applied in the embodiment of the present application, and is configured to implement the functions of the modules shown in fig. 2. 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 components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI bus or an EISA bus, etc. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
The memory 303 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, optical disk storage (including compact disks, laser disks, optical disks, digital versatile disks, blu-ray disks, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 301. Processor 301 is operative to execute application code stored in memory 303 to implement the functionality of the apparatus provided in the embodiment illustrated in fig. 2.
Compared with the prior art in which the electronic equipment acquires passengers through a traditional offline channel or acquires passengers through online platform advertisement delivery, the electronic equipment determines at least one first application user based on the public data of a third party application platform, wherein the public data comprises application user names, application user profiles and vermicelli 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; at least one target user is determined based on information published by each second application user at the third party application platform. The first application client is determined based on the data disclosed by the third-party application platform, and then the target user (such as a user with financial service requirements) is determined based on the information published by the second application user associated with the first user, so that automatic acquisition is realized, the efficiency of acquisition is improved, the cost of acquisition is reduced, and in addition, the problem of compliance in purchasing data from the third-party platform is avoided.
The embodiment of the application provides an electronic device suitable for the embodiment of the method, and specific implementation and technical effects are not repeated here.
Example IV
An embodiment of the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the target user determination method shown in the above embodiment.
Compared with the prior art of getting passengers through traditional off-line channels or on-line platform advertisement delivery, the application determines at least one first application user based on the public data of a third party application platform, wherein the public data comprises application user names, application user profiles and vermicelli 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; at least one target user is determined based on information published by each second application user at the third party application platform. The first application client is determined based on the data disclosed by the third-party application platform, and then the target user (such as a user with financial service requirements) is determined based on the information published by the second application user associated with the first user, so that automatic acquisition is realized, the efficiency of acquisition is improved, the cost of acquisition is reduced, and in addition, the problem of compliance in purchasing data from the third-party platform is avoided.
The embodiment of the present application provides a computer readable storage medium suitable for the above method embodiments, and specific implementation and technical effects are not described herein.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.
Claims (6)
1. A method for determining a target user, comprising:
determining at least one first application user based on public data of 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 at least one of the first application users;
acquiring information released by each second application user on the third party application platform;
determining at least one target user based on information issued by each second application user on the third party application platform;
determining at least one target user based on the information issued by each second application user on the third party application platform comprises the following steps:
screening and determining information conforming to a target theme based on information issued by each second application user on the third party application platform;
Determining a user corresponding to the information meeting the target theme as a target user;
The step of screening and determining the information meeting the target theme based on the information issued by each second application user on the third party application platform comprises the following steps:
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;
determining information conforming to a target theme based on the determined theme of the information issued at the third party application platform; the information published on the third party application platform comprises at least one item of published text, comment text, forwarding text and praise text;
and screening and determining information published on the third-party application platform according with a target theme based on the information published on the third-party application platform by each second application user, wherein the method comprises the following steps of:
Screening and determining comment texts conforming to a target theme based on the comment texts of the first application users within a first threshold time period of each second application user;
the determining the user corresponding to the information meeting the target theme as the target user comprises the following steps:
Determining users corresponding to comment texts meeting the target theme as candidate users;
acquiring information which accords with a target theme and is issued by the third party application platform within a second preset time period of the candidate user;
determining a score for the candidate user based on information conforming to a target topic and a predetermined rule;
and determining the candidate user as a target user when the score of the candidate user meets a preset threshold score.
2. The method according to claim 1, characterized in that the method further comprises:
Determining push content for the target user and recommending the push content to the target user.
3. The method of claim 2, wherein the target topic is a financial topic.
4. A target user determining apparatus, comprising:
The first determining module is used for determining at least one first application user based on the public data of the third party application platform, wherein the public data comprises application user names, application user profiles and fan numbers;
A second determining module for determining 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 released by each second application user on the third-party application platform;
The third determining module is used for determining at least one target user based on information issued by each second application user on the third-party application platform;
determining at least one target user based on the information issued by each second application user on the third party application platform comprises the following steps:
screening and determining information conforming to a target theme based on information issued by each second application user on the third party application platform;
Determining a user corresponding to the information meeting the target theme as a target user;
The step of screening and determining the information meeting the target theme based on the information issued by each second application user on the third party application platform comprises the following steps:
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;
determining information conforming to a target theme based on the determined theme of the information issued at the third party application platform; the information published on the third party application platform comprises at least one item of published text, comment text, forwarding text and praise text;
and screening and determining information published on the third-party application platform according with a target theme based on the information published on the third-party application platform by each second application user, wherein the method comprises the following steps of:
Screening and determining comment texts conforming to a target theme based on the comment texts of the first application users within a first threshold time period of each second application user;
the determining the user corresponding to the information meeting the target theme as the target user comprises the following steps:
Determining users corresponding to comment texts meeting the target theme as candidate users;
acquiring information which accords with a target theme and is issued by the third party application platform within a second preset time period of the candidate user;
determining a score for the candidate user based on information conforming to a target topic and a predetermined rule;
and determining the candidate user as a target user when the score of the candidate user meets a preset threshold score.
5. 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 applications configured to: a target user determining method according to any one of claims 1 to 3.
6. A computer readable storage medium for storing computer instructions which, when run on a computer, cause the computer to perform the target user determination method of any one of the preceding claims 1 to 3.
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