CN113763117A

CN113763117A - Pushing method, pushing device, electronic equipment, storage medium and program product

Info

Publication number: CN113763117A
Application number: CN202110360114.7A
Authority: CN
Inventors: 张明林
Original assignee: Beijing Jingdong Tuoxian Technology Co Ltd
Current assignee: Beijing Jingdong Tuoxian Technology Co Ltd
Priority date: 2021-04-02
Filing date: 2021-04-02
Publication date: 2021-12-07

Abstract

The present disclosure provides a push method performed by an electronic device, including: acquiring a user data set, wherein the user data set comprises user data of a plurality of users; determining at least one associated user having a relevance to the current user from the plurality of users based on user data of the plurality of users; acquiring habit data of at least one associated user; acquiring source information according to the habit data, and generating push content based on the source information; and pushing the push content to the current user or pushing the push content to at least one associated user. The present disclosure also provides a push apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

Description

Pushing method, pushing device, electronic equipment, storage medium and program product

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a pushing method, a pushing apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

Background

With the advent of networks, people browse data or acquire information on various network information platforms, different network information platforms judge the characteristics of a current user after calculation and analysis are performed based on a collaborative filtering algorithm of the current user and goods according to information such as user active search, browsing and purchase records, and push goods or information to the current user.

In carrying out the disclosed concept, the applicant has found that there are at least the following problems in the prior art:

the data source is inaccurate, for example, browsing and purchasing records of the current user only reflect the habits of the current user, and the data source for reference is single. The users who push the contents or the commodities are limited to the current users, and the associated recommendation of other users cannot be realized.

Disclosure of Invention

In view of the above, the present disclosure provides a push method, a push apparatus, an electronic device, a computer-readable storage medium, and a computer program product executed by the electronic device. The content can be pushed to the current user based on the habit data of the associated user associated with the current user, so that the pushed content is more accurate and has more pertinence.

One aspect of the present disclosure provides a push method performed by an electronic device, including: acquiring a user data set, wherein the user data set comprises user data of a plurality of users; determining at least one associated user from the plurality of users having a relevance to the current user based on the user data of the plurality of users; acquiring habit data of the at least one associated user; acquiring source information according to the habit data, and generating push content based on the source information; pushing the push content to the current user, or pushing the push content to the at least one associated user.

According to the embodiment of the present disclosure, the pushing method further includes: receiving feedback information of a current user aiming at the push content; updating the habit data based on the feedback information.

According to an embodiment of the present disclosure, the acquiring the user data set includes at least one of the following ways: collecting user data from a predetermined at least one personal information repository; user data input by the current user and the at least one associated user is received.

According to the embodiment of the present disclosure, the pushing method further includes: generating a push rule before generating push content, the push rule being generated at least according to the habit data; and screening the source information by using the pushing rule, and generating the pushing content based on the screened source information.

According to an embodiment of the present disclosure, the push rule is further generated according to the information attribute and the push time.

According to an embodiment of the present disclosure, the push time includes at least one of a publication time of the source information, a time of the at least one associated user input, a time of the current user input, and a holiday.

According to an embodiment of the present disclosure, the habit data comprises at least one of collection data, masking data, purchasing data, searching data and browsing data of the at least one associated user.

According to an embodiment of the present disclosure, the source information includes at least two network platforms of a plurality of network platforms.

According to an embodiment of the present disclosure, the pushing the push content to the current user or the pushing the push content to the at least one associated user includes: counting the number of users pushing the push content within a preset time; pushing the pushed content to all users in the user data set when the number of pushed users is greater than or equal to a predetermined number threshold; and pushing the pushed content to the current user having relevance with the at least one associated user under the condition that the pushed times are smaller than a preset time threshold value.

Another aspect of the present disclosure provides a pushing apparatus, including: a data acquisition module configured to acquire a user data set, the user data set including user data of each of a plurality of users; an information determination module configured to determine at least one associated user having a relevance to a current user from the plurality of users based on user data of the plurality of users; a data analysis module configured to analyze habit data of the at least one associated user; and the information pushing module is configured to acquire source information according to the habit data, generate pushing content, and push the pushing content to the current user or push the pushing content to the at least one associated user.

Another aspect of the present disclosure provides an electronic device including: one or more processors; a memory for storing one or more programs; wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the push method as described above.

Another aspect of the present disclosure provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to implement a push method as described above.

Another aspect of the disclosure provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the push method as described above.

According to the pushing method executed by the electronic equipment, the habit data of at least one associated user which is relevant to the current user in the user data set is obtained, and the content is pushed to the current user based on the obtained habit data, so that the pushed content is more accurate and more targeted, the content can be pushed among the associated users, and in addition, the problem that the pushed content is inaccurate due to the occurrence of wrong user characteristics is effectively avoided.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:

fig. 1 schematically illustrates an application scenario of a push method according to an embodiment of the present disclosure;

fig. 2 schematically shows a flow chart of a push method according to an embodiment of the present disclosure;

fig. 3 schematically shows an execution flow diagram of a push method according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a block diagram of a pushing device according to an embodiment of the disclosure;

fig. 5 schematically shows a block diagram of an electronic device adapted to implement a push method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features.

Embodiments of the present disclosure provide a push method, a push apparatus, an electronic device, a computer-readable storage medium, and a computer program product executed by an electronic device. The pushing method comprises the steps of obtaining a user data set, wherein the user data set comprises user data of a plurality of users; determining at least one associated user having a relevance to the current user from the plurality of users based on user data of the plurality of users; acquiring habit data of at least one associated user; acquiring source information according to the habit data, and generating push content based on the source information; and pushing the push content to the current user or pushing the push content to at least one associated user.

Fig. 1 schematically illustrates an application scenario of an exemplary system architecture 100 to which the push method according to an embodiment of the present disclosure may be applied. It should be noted that fig. 1 is only an example of an application scenario in which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 1, the system architecture 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the push method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the pushing device provided by the embodiments of the present disclosure may be generally disposed in the server 105. The push method provided by the embodiments of the present disclosure may also be performed by a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Accordingly, the pushing apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks, and servers are merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Fig. 2 schematically shows a flow chart of a push method according to an embodiment of the present disclosure.

As shown in fig. 2, the push method 200 performed by the electronic device according to the embodiment of the present disclosure may include operations S201 to S205.

In operation S201, a user data set is obtained, where the user data set includes user data of each of a plurality of users.

For example, a user data set may contain multiple users, each having its own user data set. The user data set of each user can be read or modified, and the user data set can be updated in real time so as to modify and adjust the content in the user data set according to specific situations.

In an embodiment of the present disclosure, the user data may include, for example, basic information content of each user, such as a person's name, age, sex, relationship with other users, residence, allergen, and the like. The user data may include, for example, tag information for a persona, such as abstract tags, concrete tags, or other tags. The abstract label can be, for example, a music type in personal hobbies, the specific label can be, for example, a music box of a person, and the other labels can be, for example, labels of fitness, tourism, food and the like in personal hobbies.

In addition, the user data may also include other data between the network platforms, such as collection history, e.g., web page collection, commodity collection, etc., such as screening history, e.g., advertisement screening, user screening, etc., such as purchase history, e.g., electronic product purchase history, food purchase history, etc.

In an embodiment of the present disclosure, acquiring the user data set may include at least one of the following ways: collecting user data from a predetermined at least one personal information repository; user data input by a current user and at least one associated user is received. By collecting user information in multiple ways, more kinds of information can be obtained by obtaining information from multiple network platforms and information data is more accurate than the information obtained from one network platform in the related art.

The personal information base may be, for example, personal information of different user platforms. Such as social APP user profile information, user profile information of an online shopping platform, profile information of hotel residents, profile information of passenger passengers and the like, wherein the personal information is information data generated based on behaviors of users such as use and purchase. Data information for this type of user may be collected in a rational manner to form a user data set that may be used by the push method of the present disclosure.

In the embodiment of the present disclosure, the user data may also be user data input by a current user, for example, data input by the user obtained by the social platform at the time of user registration, or data input by the financial platform at the time of user registration. The data may also be user data input by at least one associated user associated with the current user, for example, data input by the associated user, or data input by the associated user for the current user.

In operation S202, at least one associated user having a relevance to a current user is determined from a plurality of users based on user data of the plurality of users.

In the embodiment of the disclosure, after the user data of a plurality of users is acquired, the associated user having the relevance with the current user is determined according to the relevance in the user data. For example, relevance includes a geographical location relationship, a alumni relationship, a friends relationship, a colleague relationship, a customer relationship, a service relationship, and so forth. The correlation may be obtained from the user data, may be calculated by deduction based on other information in the user data, or may be a correlation relationship input by the user.

In operation S203, habit data of at least one associated user is acquired.

In an embodiment of the present disclosure, habit data of at least one associated user associated with a current user is obtained. Wherein the habit data comprises at least one of collection data, mask data, purchase data, search data and browsing data of at least one associated user.

For example, the habit data may be personal preference data of the associated user, may be data such as a music type, tourist attraction, electronic product, entertainment item, shopping history, mask history, collection history, etc. preferred by the associated user, may be search data for a user to search in a web page or other platform, or may be browsing data recorded by the platform during browsing.

In operation S204, according to the habit data, source information is acquired, and push content is generated based on the source information.

In an embodiment of the present disclosure, the source information may include information from at least two of the plurality of network platforms. The network platform may be, for example, a medical platform, a shopping platform, an entertainment platform, a review platform, a travel platform, a training platform, an analysis platform, and the like. The source information is information obtained by selecting at least two platforms from the network platforms. Compared with the technology that the source information can only be acquired from a single platform in the related technology, the method and the system can acquire the source information from a plurality of different network platforms, and the limitation that the source information of the single platform is single is overcome. The method can effectively improve the range and variety of source information acquisition and provide richer push schemes for users.

According to an embodiment of the present disclosure, after information from a plurality of network platforms is collected, the information of each network platform is also classified. For example, there are four broad categories that include: medical health, entertainment, clothes, eating, and capacity improvement, or other categories according to other classification rules. Based on the classification, the source information is screened from the classified information more quickly and efficiently.

In the embodiment of the present disclosure, the source information is obtained according to the habit data, that is, the information of the network platform is obtained through the content in the habit data, so as to obtain the source information, and further, the push content is generated based on the obtained source information.

For example, if the type of the product included in the habit data is an electronic product, various electronic product information is acquired from a plurality of network platforms such as an online shopping platform or a production and manufacturing platform, and after the electronic product information of each network platform is acquired, the acquired electronic product information is screened based on the content of the electronic product, such as the product brand, the product model, the price, and the like, included in the habit data, so as to obtain accurate push content, which is a specific electronic product to which the information of the product brand, the product model, the price, and the like in the habit data points.

In operation S205, the push content is pushed to the current user or pushed to at least one associated user.

After generating the push content, the push content can be selected to be pushed to the current user. The push content is generated based on the associated users with the relevance with the current user, so that more accurate habit data can be provided, and the push content generated based on the habit data is more accurate and more targeted.

In addition, after the push content is generated, the push content can also be selected to be pushed to at least one associated user. The influence degree of the pushed content can be determined according to the number of the pushed content pushed to the associated users, and the utilization rate of resources can be reasonably configured.

According to the embodiment of the disclosure, the acquired data sets are multiple, for example, the data sets comprise the current user and the associated users having relevance with the current user, and the data sources are rich. And by acquiring habit data of a user associated with the current user, generating push content based on the habit data, and pushing the content to the current user. The habit data of the associated user can be used as the screening condition of the content pushed by the current user, so that the pushed content is more accurate and has more pertinence.

In an embodiment of the present disclosure, the push method performed by the electronic device further includes: receiving feedback information of a current user aiming at push content; the habit data is updated based on the feedback information.

After the current user receives the push content, the current user can evaluate and judge according to the push content. For example, a current user A and an associated user B having a relevance to A are included in the user data set. According to habit data (such as an electronic product C liked by the user B) of the associated user B, acquiring information of the electronic product from the source information, generating push content related to the electronic product C, and pushing the push content to the current user A. After receiving the push content, the current user a performs a subsequent action, and feeds back the push content based on the subsequent action. For example, the current user a purchases the electronic product C based on receiving the push content, and gives the electronic product C to the associated user B, and the current user a forms feedback information for the push content based on the satisfaction of the associated user B, and feeds back the feedback information. And after receiving feedback information of the current user for the push content, updating habit data based on the feedback information.

For example, if the feedback information of the current user a is unsatisfactory, the habit data of the associated user B is adjusted based on the feedback information, for example, the favorite electronic product C in the habit data of B is deleted from the habit data of B, or the electronic product C is no longer pushed to the current user as push content.

According to the embodiment of the disclosure, the accuracy of pushing the content can be effectively improved by updating the habit data. In addition, the false habit data generated by the misoperation of the user in the habit data can be corrected, or after the habit of the user is changed, the habit data is updated in real time, so that more accurate pushed content can be generated in the subsequent process.

In an embodiment of the present disclosure, a push rule is generated before generating push content, the push rule being at least habit data generation; and screening the source information by using a pushing rule, and generating pushing content based on the screened source information.

After acquiring the habit data of at least one associated user, generating a push rule based on the habit data. For example, if the habit data of the associated user includes D brand mobile phone type electronic products, the push rule generated based on the habit data may be, for example, a push rule including brand, category, product type, and the like. After the push rule is generated, the push rule is utilized to screen source information, for example, information of a shopping platform is screened, and push content of D brand mobile phone electronic products in the shopping platform is obtained.

According to the embodiment of the disclosure, the pushing rule is generated based on the habit data, and the source information is screened, so that the screened information is more accurate, and the generated pushing content is more targeted.

In embodiments of the present disclosure, the push rules are further generated according to the information attributes and/or the push time.

The information attributes may include, for example, trending information, new product information, limited purchase information, and the like. For example, the popular information may be popular ones of the commodities, the new item information may be new ones of the commodities that are newly marketed, and the purchase restriction information may be purchase restriction ones of the commodities, for example.

According to the embodiment of the disclosure, the push rule is generated based on the information attribute and the push time, so that more accurate screening of the source information can be realized, and more specific information can be obtained.

The push time includes at least one of a publication time of the source information, a time of at least one associated user input, a time of a current user input, and a holiday.

For example, the push time may be an information publication time at the network platform. For example, the release time of a certain product, and the push rule is generated according to the habit data and the release time of a certain product.

For example, the push time may be a time entered at the at least one associated user. For example, the associated user inputs his birthday, and a push rule is generated according to the habit data and the birthday input by the associated user, and the push rule is, for example, to filter the source information at a specific time before the birthday of the associated user and push the content to the current user.

For example, the push time may be a holiday or a set date.

According to the embodiment of the disclosure, information is acquired on a plurality of network platforms, cross-platform information or commodity pushing can be achieved, and compared with a single platform in the related technology, cross-platform pushing content is richer and pushing content is more accurate.

In an embodiment of the present disclosure, pushing push content to a current user or pushing push content to at least one associated user includes: and counting the number of the users pushing the push content within the preset time. And pushing the push content to all users in the user data set under the condition that the number of pushed users is larger than or equal to a preset number threshold value. And pushing the pushed content to a current user having relevance with at least one associated user under the condition that the pushed times are smaller than a preset time threshold value.

The predetermined time period may be, for example, 1 hour, a day, a week, and the like, the number of users whose push content is pushed is counted within the predetermined time period, and if the number of pushed users is greater than or equal to a predetermined number threshold, it indicates that the push content belongs to popular push content, and the push content is pushed to all users in the user data set. The pushing method can judge the pushed contents according to the number of the pushed users so as to determine whether the pushed contents are popular pushed contents or not, and the popular pushed contents can be updated in real time.

In this embodiment, when the number of times of pushing is less than a predetermined number threshold, the push content is pushed to a current user having a relevance to at least one associated user. At this time, the number of users whose push content is pushed is small, indicating that the push content is not popular. Based on the method, the pushed content is pushed to the current user having relevance with the associated user, the pushing is more targeted, and the pushed content is more accurate.

Fig. 3 schematically shows an execution flow diagram of a push method according to an embodiment of the present disclosure.

As shown in fig. 3, user data is first acquired, resulting in a user data set 301. Associated users in the user data set are determined and habit data 302 of at least one associated user is obtained. Push rules 303 are formed from the habit data 302. Source information 304 is obtained and the source information 304 is filtered based on push rules 303 to form push content 305. The formed push content 305 is pushed to the current user/associated user 306. Feedback information 307 for the push content is obtained according to the evaluation of the current user/associated user 306. The feedback information 307 for the push content is further analyzed, i.e. the feedback information 308 is analyzed. Habit data 302 of at least one associated user is adjusted based on the analysis feedback information 308. The push rules 303 also include generation from push time 309, information attributes 310. Furthermore, the user data set 301 is recorded based on the feedback information 307 for the push content, i.e. the information in the user data set is recorded or adjusted according to the feedback information, so that the information data in the user data set is more accurate.

Fig. 4 schematically shows a block diagram of a push device according to an embodiment of the disclosure.

As shown in fig. 4, the pushing device 400 includes a data obtaining module 410, an information determining module 420, a data analyzing module 430, and an information pushing module 440. Wherein:

the data acquisition module 410 includes a first data acquisition sub-module and a second data acquisition sub-module. The first data obtaining sub-module is configured to perform the operation S201, and obtain a user data set, where the user data set includes user data of each of a plurality of users.

The information determining module 420 is configured to perform the aforementioned operation S202, and determine at least one associated user having a relevance to the current user from the plurality of users based on the user data of the plurality of users.

The second data acquiring submodule of the data acquiring module 410 is configured to perform the aforementioned operation S203, and acquire habit data of at least one associated user.

The data analysis module 430 is configured to perform the aforementioned operation S204, obtain the source information according to the habit data, and generate the push content.

The information pushing module 440 is configured to perform the aforementioned operation S205, push the push content to the current user, or push the push content to at least one associated user.

According to the embodiment of the disclosure, the push device further comprises an information feedback module configured to receive feedback information of the current user for the push content, and update the habit data based on the feedback information.

According to an embodiment of the present disclosure, the manner in which the data acquisition module 410 acquires the user data set includes at least one of the following: (1) collecting user data from a predetermined at least one personal information repository; (2) user data input by a current user and at least one associated user is received.

According to an embodiment of the present disclosure, the data analysis module 430 is configured to generate push rules prior to generating push content, the push rules being generated at least according to the habit data; and screening the source information by using a pushing rule, and generating pushing content based on the screened source information.

According to an embodiment of the present disclosure, the push rule is further generated according to the information attribute and/or the push time.

According to an embodiment of the present disclosure, the push time includes at least one of a publication time of the source information, a time of at least one associated user input, a time of a current user input, and a holiday.

According to an embodiment of the present disclosure, the habit data comprises at least one of favorite data, mask data, purchase data, search data and browse data of at least one associated user.

According to an embodiment of the present disclosure, the source information includes information from at least two network platforms of the plurality of network platforms.

According to an embodiment of the present disclosure, the information pushing module 440 is configured to count the number of users whose pushed content is pushed within a predetermined time period. And pushing the push content to all users in the user data set under the condition that the number of pushed users is larger than or equal to a preset number threshold value. Or pushing the push content to a current user having relevance with at least one associated user under the condition that the pushed times are smaller than a preset time threshold value.

Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.

For example, any plurality of the data obtaining module 410, the information determining module 420, the data analyzing module 430, and the information pushing module 440 may be combined and implemented in one module, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the data obtaining module 410, the information determining module 420, the data analyzing module 430, and the information pushing module 440 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or implemented by a suitable combination of any several of them. Alternatively, at least one of the data obtaining module 410, the information determining module 420, the data analyzing module 430, and the information pushing module 440 may be at least partially implemented as a computer program module, which may perform corresponding functions when executed.

Fig. 5 schematically shows a block diagram of an electronic device adapted to implement a push method according to an embodiment of the present disclosure. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 5, an electronic device 500 according to an embodiment of the present disclosure includes a processor 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. The processor 501 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 501 may also include onboard memory for caching purposes. Processor 501 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.

In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are stored. The processor 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. The processor 501 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 502 and/or the RAM 503. Note that the programs may also be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, electronic device 500 may also include an input/output (I/O) interface 505, input/output (I/O) interface 505 also being connected to bus 504. The electronic device 500 may also include one or more of the following components connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method provided by the embodiments of the present disclosure, when the computer program product is run on an electronic device, the program code being adapted to cause the electronic device to carry out the push method provided by the embodiments of the present disclosure.

The computer program, when executed by the processor 501, performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, downloaded and installed through the communication section 509, and/or installed from the removable medium 511. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider). Embodiments of the present disclosure also include a computer-readable storage medium storing computer instructions that, when executed by a processor, implement a push method as described above. The computer-readable storage medium may be included in the apparatus described in the above embodiments; or may be separate and not incorporated into the device.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM and/or RAM and/or one or more memories other than ROM and RAM described above.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods, apparatus, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based apparatus that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A push method performed by an electronic device, comprising:

acquiring a user data set, wherein the user data set comprises user data of a plurality of users;

determining at least one associated user from the plurality of users having a relevance to the current user based on the user data of the plurality of users;

acquiring habit data of the at least one associated user;

acquiring source information according to the habit data, and generating push content based on the source information;

pushing the push content to the current user, or pushing the push content to the at least one associated user.

2. The push method of claim 1, further comprising:

receiving feedback information of a current user aiming at the push content;

updating the habit data based on the feedback information.

3. The push method of claim 1, wherein the obtaining a set of user data comprises at least one of:

collecting user data from a predetermined at least one personal information repository;

user data input by the current user and the at least one associated user is received.

4. The push method of claim 2, further comprising:

generating a push rule before generating push content, the push rule being generated at least according to the habit data;

and screening the source information by using the pushing rule, and generating the pushing content based on the screened source information.

5. The push method according to claim 4, wherein the push rule is further generated according to information attributes and/or push time.

6. The push method of claim 5, wherein the push time comprises at least one of a publication time of the source information, a time of the at least one associated user input, a time of the current user input, and a holiday.

7. The push method of claim 5, wherein the habit data comprises at least one of favorite data, mask data, purchase data, search data, and browse data of the at least one associated user.

8. The push method of any one of claims 1 to 7, wherein the source information includes information from at least two network platforms of a plurality of network platforms.

9. The push method according to any one of claims 1 to 7, wherein the pushing the push content to the current user or the at least one associated user comprises:

counting the number of users pushing the push content within a preset time;

pushing the pushed content to all users in the user data set when the number of pushed users is greater than or equal to a predetermined number threshold;

and pushing the pushed content to the current user having relevance with the at least one associated user under the condition that the pushed times are smaller than a preset time threshold value.

10. A pushing device, comprising:

a data acquisition module configured to acquire a user data set, the user data set including user data of each of a plurality of users;

an information determination module configured to determine at least one associated user having a relevance to a current user from the plurality of users based on user data of the plurality of users;

a data analysis module configured to analyze habit data of the at least one associated user;

and the information pushing module is configured to acquire source information according to the habit data, generate pushing content, and push the pushing content to the current user or push the pushing content to the at least one associated user.

11. An electronic device, comprising:

one or more processors;

a memory for storing one or more programs;

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the push method of any of claims 1-9.

12. A computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to implement the push method of any of claims 1 to 9.

13. A computer program product comprising a computer program/instructions which, when executed by a processor, implements a push method according to any one of claims 1 to 9.