CN113343090B - Method, apparatus, device, medium and product for pushing information - Google Patents
Method, apparatus, device, medium and product for pushing information Download PDFInfo
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- CN113343090B CN113343090B CN202110675648.9A CN202110675648A CN113343090B CN 113343090 B CN113343090 B CN 113343090B CN 202110675648 A CN202110675648 A CN 202110675648A CN 113343090 B CN113343090 B CN 113343090B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
Abstract
The application discloses a method, a device, equipment, a medium and a product for pushing information, which relate to the field of computers and further relate to the technical field of content recommendation. The specific implementation scheme is as follows: acquiring a target object; determining an associated object associated with the target object based on the interest community corresponding to the target object; determining target information based on the interest communities corresponding to the associated objects; and pushing the target information to the target object. The implementation mode can improve the information pushing accuracy.
Description
Technical Field
The present disclosure relates to the field of computers, and further to the field of content recommendation technology, and in particular, to a method, apparatus, device, medium, and product for pushing information.
Background
Currently, the number of user generated content (User Generated Content, UGC) is increasing. The content platform generally distributes UGC to different users in a targeted manner to improve content conversion efficiency.
In practice, it is found that when pushing UGC to a user, the pushing manner is generally determined based on content indicators, which may be a reading amount, a reading duration, or the like. However, the pushing of information in this way has the problem of low accuracy.
Disclosure of Invention
The present disclosure provides a method, apparatus, device, medium, and product for pushing information.
According to a first aspect, there is provided a method for pushing information, comprising: acquiring a target object; determining an associated object associated with the target object based on the interest community corresponding to the target object; determining target information based on the interest communities corresponding to the associated objects; and pushing the target information to the target object.
According to a second aspect, there is provided an apparatus for pushing information, comprising: an object acquisition unit configured to acquire a target object; an object determining unit configured to determine an associated object associated with the target object based on the interest community corresponding to the target object; an information determining unit configured to determine target information based on the interest communities corresponding to the associated objects; and an information pushing unit configured to push the target information to the target object.
According to a third aspect, there is provided an electronic device performing a method for pushing information, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement a method for pushing information as in any of the above.
According to a fourth aspect, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a method for pushing information as any one of the above.
According to a fifth aspect, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a method for pushing information according to any of the above.
According to the technology of the application, the method for pushing information is provided, the associated object can be determined based on the interest communities corresponding to the target object, and the target information is determined based on the interest communities corresponding to the associated object, so that the target information is pushed to the target object. Because the interest communities are adopted as the basis for pushing information, the aim of pushing target information based on the association relationship between the objects and communities by taking the same interests as starting points is achieved, and the information pushing accuracy is improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is an exemplary system architecture diagram in which an embodiment of the present application may be applied;
FIG. 2 is a flow chart of one embodiment of a method for pushing information according to the present application;
FIG. 3 is a schematic illustration of one application scenario of a method for pushing information according to the present application;
FIG. 4 is a flow chart of another embodiment of a method for pushing information according to the present application;
FIG. 5 is a schematic structural view of one embodiment of an apparatus for pushing information according to the present application;
fig. 6 is a block diagram of an electronic device for implementing a method for pushing information of an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. The terminal devices 101, 102, 103 can be mobile phones, computers, tablet and other electronic devices, social application software based on interest community discussion can be installed in the terminal devices 101, 102, 103, and users can select interest communities to join based on the application software, and other users in the same interest communities can conduct discussion of related topics.
The terminal devices 101, 102, 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices including, but not limited to, televisions, smartphones, tablets, electronic book readers, car-mounted computers, laptop and desktop computers, and the like. When the terminal devices 101, 102, 103 are software, they can be installed in the above-listed electronic devices. Which may be implemented as multiple software or software modules (e.g., to provide distributed services), or as a single software or software module. The present invention is not particularly limited herein.
The server 105 may be a server providing various services, for example, uploading user information currently using the application software based on social class application software discussed by the interest communities at the terminal devices 101, 102, 103, the server 105 may determine the interest communities where the current user is located based on the user information, determine target information pushed to the current user based on other interest communities that are of interest to other associated users who are in the same interest communities as the current user, and return the target information to the terminal devices 101, 102, 103.
The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster formed by a plurality of servers, or as a single server. When server 105 is software, it may be implemented as a plurality of software or software modules (e.g., to provide distributed services), or as a single software or software module. The present invention is not particularly limited herein.
It should be noted that, the method for pushing information provided in the embodiment of the present application may be performed by the terminal devices 101, 102, 103, or may be performed by the server 105. Accordingly, the means for pushing information may be provided in the terminal device 101, 102, 103 or in the server 105.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to fig. 2, a flow 200 of one embodiment of a method for pushing information according to the present application is shown. The method for pushing information of the embodiment includes the following steps:
in step 201, a target object is acquired.
In this embodiment, the executing body (such as the server 105 or the terminal devices 101, 102, 103 in fig. 1) may obtain the target object that needs to push information from the application software running the community of interest platform, where the target object may be a current user who is using the application software, and the number of target objects may be one or multiple, which is not limited in this embodiment. Wherein, the acquiring the target object may include the steps of: determining current login information of application software running an interest community platform in each electronic device; determining user account information based on the current login information; determining the current account and the associated account as target objects in response to determining that the user account information indicates that the associated account exists in the current account; and in response to determining that the user account information indicates that the current account does not have the associated account, determining the current account as the target object. The associated account and the current account are accounts of the same user. Under the condition that a certain user has a plurality of accounts, the accounts can be determined to be target objects together, and information is pushed, so that the push comprehensiveness is improved.
Step 202, determining an associated object associated with the target object based on the interest community corresponding to the target object.
In this embodiment, the interest community refers to a community composed of users having the same interests, and the users may be discussed in the community based on the same interests. After the execution subject acquires the target object, the interested communities of the target object can be determined, and the interested communities are determined as the interested communities corresponding to the target object. For the case that the number of the target objects is a plurality of accounts of the user, the execution subject may use the interest community of each target object as the interest community corresponding to the target object. Further, the execution subject determines an associated object associated with the target object based on other objects included in the interest community corresponding to the target object, except for the target object. The associated object refers to a user having an interest similarity point with the target object, and for the determination of the interest similarity point, similarity calculation between the objects can be performed based on object information, and the interest similarity point is determined based on a similarity calculation result. For example, the executing body may calculate an interest community interest coincidence index between each object and the target object in the same interest community as the target object, where the interest community interest coincidence index may reflect a similarity of interest of the interest community, and select a preset number of objects as the associated objects based on an order in which the interest community interest coincidence index indicates the similarity from high to low.
And 203, determining target information based on the interest communities corresponding to the associated objects.
In this embodiment, the interest communities corresponding to the associated objects may be interest communities that the associated objects focus on, or may be interest communities that are further screened from the interest communities that the associated objects focus on, which is not limited in this embodiment. Wherein, based on the interest communities corresponding to the associated objects, determining the target information may include: in response to determining that the number of the interesting communities of the associated object is smaller than a preset number threshold, determining the interesting communities of the associated object as the interesting communities corresponding to the associated object; and in response to determining that the number of the interesting communities of the associated object is greater than or equal to a preset number threshold, selecting the interesting communities corresponding to the associated object from the interesting communities of the associated object based on preset screening conditions.
Further, after determining that the interest communities corresponding to the associated objects are obtained, the executing body may determine content to be pushed based on the content in the interest communities, and use the pushed content information as target information. Or, the executing body may determine, based on the interest communities corresponding to the associated objects, an interest community to be pushed to the target object, and use the interest community to be pushed as the target information, which is not limited in this embodiment.
Step 204, pushing the target information to the target object.
In this embodiment, the executing body may output the target information in the application software running the community of interest platform through the corresponding recommendation interface, for example, output the determined content to be pushed and the community of interest to be pushed, so that the user may browse the content of possible interest or pay attention to the community of interest of possible interest.
With continued reference to fig. 3, a schematic diagram of one application scenario of a method for pushing information according to the present application is shown. In the application scenario of fig. 3, the target object to which the information needs to be pushed is a user B, the interest community set 302 focused by the user B includes an interest community 1, an interest community 5, and an interest community 2, and based on the interest community set 302 focused by the user B, a user a focused by the user B together with the interest community 1 can be determined as an associated user of the user B. User C, who is co-interested in community of interest 2 with user B, may also be determined as an associated user for user B. Further, the executing entity may also determine the set of interest communities 301 of interest to user A and the set of interest communities 303 of interest to user C. Specifically, the user a pays attention to the interest communities 3, 4 in addition to the interest community 1, and therefore, the execution subject can push the content in the interest communities 3, 4 to the user B as target information. The user C pays attention to the interest communities 6, 7 in addition to the interest community 2, and thus the execution subject can push the contents in the interest communities 6, 7 to the user B as target information.
According to the method for pushing information, the associated object can be determined based on the interest communities corresponding to the target object, and the target information can be determined based on the interest communities corresponding to the associated object, so that the target information is pushed to the target object. Because the interest communities are adopted as the basis for pushing information, the aim of pushing target information based on the association relationship between the objects and communities by taking the same interests as starting points is achieved, and the information pushing accuracy is improved.
With continued reference to fig. 4, a flow 400 of another embodiment of a method for pushing information according to the present application is shown. As shown in fig. 4, the method for pushing information in this embodiment may include the following steps:
in step 401, a target object is acquired.
In this embodiment, the detailed description of step 401 is referred to the detailed description of step 201, and will not be repeated here.
Step 402, a set of candidate objects in the same community of interest as the target object is determined.
In this embodiment, each object may enter the interest community for discussion by focusing on the interest community, joining the interest community, and the like, and is considered to be in the interest community at this time. The execution subject may determine a set of candidate objects that are in the same community of interest as the target object, each object in the set of candidate objects being other objects in the community of interest in which the target object is located than the target object. Optionally, while determining the candidate object set, each object in the candidate object set may be ranked according to the interest community rank score, so as to facilitate subsequent determination of the associated object based on the interest community rank score.
Step 403, determining an associated object associated with the target object based on the interest community rank scores of the respective objects in the candidate object set.
In this embodiment, the interest community rank score is used to measure the object weight of the object in the interest community, which is determined based on the operation of the object in the interest community, such as posting operation, comment operation, and the like of the object. The higher the interest community grade score, the higher the weight ratio of the object in the interest community, and when the associated object associated with the target object is determined, the user with the higher interest community grade score is selected as the associated user.
In some optional implementations of the present embodiment, determining an associated object associated with the target object based on the interest community rank scores of the respective objects in the candidate object set includes: determining object similarity between each object in the candidate object set and the target object; an associated object associated with the target object is determined based on the interest community rank scores and object similarity for each object in the candidate object set.
In this implementation, the execution body may also calculate object similarity between objects, together determining the associated objects. The object similarity may be determined based on factors such as an interest community in which objects are focused together, the same tag of the object, the same operation of the object on the interest community, and the like, which is not limited in this embodiment. Optionally, the executing body may select a preset number of candidate objects from the candidate object set based on the order of the interest community level score from high to low, calculate the object similarity between the candidate objects and the target object, and perform secondary screening according to the order of the object similarity from high to low, to obtain the associated object associated with the target object.
Step 404, obtaining a candidate interest community set corresponding to the associated object.
In this embodiment, the candidate interest community set may be each interest community focused on by the associated object, or may be an interest community focused on by the associated object after being screened based on a predetermined condition, which is not limited in this embodiment. Wherein the predetermined conditions may include, but are not limited to: the community popularity value is larger than a preset threshold value, and the interested communities are consistent with preset community topics.
Step 405, determining an interest community corresponding to the association object based on community attribute information of each candidate interest community in the candidate interest community set.
In this embodiment, the community attribute information is used to describe various attribute indexes of the interest community, such as the attention amount of the interest community, the activity of the interest community, the association degree between the interest community and the hotspot event, and the like, which is not limited in this embodiment. The executing body can determine the interest communities with higher popularity value, more total posts, more attention and/or related to the hot event based on the community attribute information of each candidate interest community, and the interest communities are used as the interest communities corresponding to the associated objects.
In some optional implementations of this embodiment, determining an interest community corresponding to the associated object based on community attribute information of each candidate interest community in the candidate interest community set includes: determining community similarity between each candidate interest community in the candidate interest community set and the interest communities corresponding to the target objects; and determining the interest communities corresponding to the associated objects based on community attribute information and community similarity of each candidate interest community in the candidate interest community set.
In this implementation manner, the execution body may also calculate a community similarity between each candidate interest community and the interest communities corresponding to the target objects, where the community similarity is used to measure a similarity between the interest communities. Specifically, community names of candidate interest communities and community names of interest communities corresponding to target objects can be determined, similarity among the community names is calculated based on semantic analysis, and the similarity of the community names is determined to be community similarity. Or, the community similarity can be determined by combining the coincidence degree of concerned users among communities and the similarity among community names. Alternatively, the community similarity may be determined based on the degree of coincidence between the management users of the community, the degree of coincidence between the attention users, and the similarity between the names of the communities, which is not limited in this embodiment.
And step 406, obtaining each content information in the interest communities corresponding to the associated objects.
In this embodiment, after determining the interest communities corresponding to the associated objects, the executing body may further determine each piece of content information in each interest community, where the content information may be a published content in the interest communities. If the content quantity in a certain interest community is determined to be more, the content in the interest community can be screened to obtain each content information.
Step 407, determining a content quality parameter and a content heat parameter corresponding to each content information.
In this embodiment, the content quality parameter is used to measure content quality information, such as content text length, content timeliness index, content picture richness, and content video richness. The content popularity parameter is used for measuring content popularity information, such as an independent visitor value, a click value, an evaluation amount, a praise amount, a forwarding amount and the like.
In step 408, the target information is determined based on the content quality parameter and the content popularity parameter.
In this embodiment, the execution subject may integrate the content quality parameter and the content popularity parameter, and determine the content information with higher content quality parameter and higher content popularity parameter as the target information. For example, the quality comprehensive index number may be obtained by weighted averaging of the indexes of the content quality parameter, the heat comprehensive index number may be obtained by weighted averaging of the indexes of the content heat parameter, and the target comprehensive index number may be obtained by weighted averaging of the quality comprehensive index number and the heat comprehensive index number. The execution body determines target information according to the sequence from high to low of the target comprehensive index number.
Step 409, pushing the target information to the target object.
In this embodiment, the detailed description of step 409 is referred to the detailed description of step 204, and will not be repeated here.
According to the method for pushing information provided by the embodiment of the application, the associated object associated with the target object can be determined based on the interest community grade score and the object similarity, so that the accuracy of determining the associated object is improved. And determining the interest communities based on community attribute information and community similarity of the interest communities, so that accuracy of determining the interest communities is improved. And determining the final pushed target information based on the content quality parameter and the content heat parameter, thereby improving the accuracy of information pushing.
With further reference to fig. 5, as an implementation of the method shown in the foregoing figures, the present application provides an embodiment of an apparatus for pushing information, where an embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various servers or terminal devices.
As shown in fig. 5, the apparatus 500 for pushing information of the present embodiment includes: an object acquisition unit 501, an object determination unit 502, an information determination unit 503, and an information push unit 504.
The object acquisition unit 501 is configured to acquire a target object.
The object determining unit 502 is configured to determine an associated object associated with the target object based on the interest community corresponding to the target object.
The information determining unit 503 is configured to determine target information based on the interest communities corresponding to the associated objects.
The information pushing unit 504 is configured to push target information to the target object.
In some optional implementations of the present embodiment, the object determination unit 501 is further configured to: determining a candidate object set which is in the same interest community with the target object; an associated object associated with the target object is determined based on the interest community rank scores of the respective objects in the candidate object set.
In some optional implementations of the present embodiment, the object determination unit 501 is further configured to: determining object similarity between each object in the candidate object set and the target object; an associated object associated with the target object is determined based on the interest community rank scores and object similarity for each object in the candidate object set.
In some optional implementations of this embodiment, the apparatus further includes: the collection acquisition unit is configured to acquire a candidate interest community collection corresponding to the association object; and the community determining unit is configured to determine the interest communities corresponding to the associated objects based on community attribute information of each candidate interest community in the candidate interest community set.
In some optional implementations of the present embodiment, the community determination unit is further configured to: determining community similarity between each candidate interest community in the candidate interest community set and the interest communities corresponding to the target objects; and determining the interest communities corresponding to the associated objects based on community attribute information and community similarity of each candidate interest community in the candidate interest community set.
In some optional implementations of the present embodiment, the information determining unit 503 is further configured to: acquiring each content information in the interest communities corresponding to the associated objects; determining a content quality parameter and a content heat parameter corresponding to each piece of content information; the target information is determined based on the content quality parameter and the content popularity parameter.
It should be understood that the units 501 to 504 described in the apparatus 500 for pushing information correspond to the respective steps in the method described with reference to fig. 2. Thus, the operations and features described above for the method of pushing information are equally applicable to the apparatus 500 and the units contained therein, and are not described in detail herein.
According to embodiments of the present application, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 6 illustrates a block diagram of an electronic device 600 for implementing a method for pushing information of an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the apparatus 600 includes a computing unit 601 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 may also be stored. The computing unit 601, ROM 602, and RAM 603 are connected to each other by a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Various components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, mouse, etc.; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose push information with processing and computing capabilities. Some examples of computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as a method for pushing information. For example, in some embodiments, the method for pushing information may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the method for pushing information described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the method for pushing information in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, 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), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (10)
1. A method for pushing information, comprising:
acquiring a target object;
determining an associated object associated with the target object based on the interest community corresponding to the target object;
determining target information based on the interest communities corresponding to the associated objects;
pushing the target information to the target object;
acquiring a candidate interest community set corresponding to the associated object;
based on community attribute information of each candidate interest community in the candidate interest community set, determining an interest community corresponding to the associated object comprises the following steps: determining community similarity between each candidate interest community in the candidate interest community set and the interest communities corresponding to the target objects; and determining the interest communities corresponding to the associated objects based on community attribute information of each candidate interest community in the candidate interest community set and the community similarity.
2. The method of claim 1, wherein the determining an associated object associated with the target object based on the community of interest to which the target object corresponds comprises:
determining a candidate object set which is in the same interest community with the target object;
an associated object associated with the target object is determined based on the interest community rank scores of the respective objects in the candidate object set.
3. The method of claim 2, wherein the determining an associated object associated with the target object based on the interest community rank scores of the respective objects in the set of candidate objects comprises:
determining object similarity between each object in the candidate object set and the target object;
and determining an associated object associated with the target object based on the interest community rank scores of the objects in the candidate object set and the object similarity.
4. The method of claim 1, wherein the determining target information based on the community of interest corresponding to the associated object comprises:
acquiring each content information in the interest communities corresponding to the associated objects;
determining a content quality parameter and a content heat parameter corresponding to each piece of content information;
the target information is determined based on the content quality parameter and the content popularity parameter.
5. An apparatus for pushing information, comprising:
an object acquisition unit configured to acquire a target object;
an object determining unit configured to determine an associated object associated with the target object based on an interest community corresponding to the target object;
an information determining unit configured to determine target information based on an interest community corresponding to the associated object;
an information pushing unit configured to push the target information to the target object;
the set acquisition unit is configured to acquire a candidate interest community set corresponding to the association object;
the community determining unit is configured to determine an interest community corresponding to the association object based on community attribute information of each candidate interest community in the candidate interest community set;
the community determination unit is further configured to: determining community similarity between each candidate interest community in the candidate interest community set and the interest communities corresponding to the target objects; and determining the interest communities corresponding to the associated objects based on community attribute information of each candidate interest community in the candidate interest community set and the community similarity.
6. The apparatus of claim 5, wherein the object determination unit is further configured to:
determining a candidate object set which is in the same interest community with the target object;
an associated object associated with the target object is determined based on the interest community rank scores of the respective objects in the candidate object set.
7. The apparatus of claim 6, wherein the object determination unit is further configured to:
determining object similarity between each object in the candidate object set and the target object;
and determining an associated object associated with the target object based on the interest community rank scores of the objects in the candidate object set and the object similarity.
8. The apparatus of claim 5, wherein the information determination unit is further configured to:
acquiring each content information in the interest communities corresponding to the associated objects;
determining a content quality parameter and a content heat parameter corresponding to each piece of content information;
the target information is determined based on the content quality parameter and the content popularity parameter.
9. An electronic device that performs a method for pushing information, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-4.
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