CN109862100B - Method and device for pushing information - Google Patents
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- CN109862100B CN109862100B CN201910111301.4A CN201910111301A CN109862100B CN 109862100 B CN109862100 B CN 109862100B CN 201910111301 A CN201910111301 A CN 201910111301A CN 109862100 B CN109862100 B CN 109862100B
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Abstract
The embodiment of the disclosure discloses a method and a device for pushing information. One embodiment of the method comprises: acquiring a work which is executed with preset operation by a target user and is used as a target work; determining a candidate author identification set according to a target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity greater than a preset similarity threshold with the target work; and selecting a candidate author identification from the candidate author identification set, and pushing the related information of the author indicated by the selected candidate author identification to the terminal equipment corresponding to the target user. The embodiment realizes recommendation of authors of other works similar to the contents of the target works browsed by the user.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method and a device for pushing information.
Background
The emergence of various types of content sharing applications (such as picture sharing applications, video sharing applications, etc.) further facilitates communication and information sharing among users. The user can share own works on the content sharing applications, browse works of other users, share works of other users and the like.
For a favorite work, the user may also mark the author of the work (e.g., focus on the author of the work, etc.) so that other works of the author of the work may be quickly browsed to later. Since the habits and hobbies of various users may have great difference, by pushing the authors who may be liked to the users, the users can conveniently mark the authors to quickly browse the works which may be liked to the authors.
Disclosure of Invention
The embodiment of the disclosure provides a method and a device for pushing information.
In a first aspect, an embodiment of the present disclosure provides a method for pushing information, where the method includes: acquiring a work which is executed with preset operation by a target user and is used as a target work; determining a candidate author identification set according to a target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity greater than a preset similarity threshold with the target work; and selecting a candidate author identification from the candidate author identification set, and pushing the related information of the author indicated by the selected candidate author identification to the terminal equipment corresponding to the target user.
In some embodiments, determining a set of candidate author identifications from the target work includes: determining the works with the similarity greater than the similarity threshold value with the target works from the target work set as candidate works to obtain a candidate work set; and acquiring the identifier of the author of the candidate works in the candidate work set as the candidate author identifier to obtain the candidate author identifier set.
In some embodiments, determining, from the target work set, a work having a similarity greater than a similarity threshold with the target work as a candidate work includes: determining category information indicating a category to which the target work belongs; selecting works belonging to the category indicated by the category information from the target work set to obtain a work subset; and determining the works with the similarity greater than the similarity threshold value from the subset of the works as candidate works.
In some embodiments, from the target work, a set of candidate author identifications is determined: determining an author identifier for identifying an author of the target work as a target identifier; acquiring a preset author identification set corresponding to the target identification, wherein the works of authors indicated by the author identification in the acquired author identification set and the works of authors indicated by the target identification meet preset conditions; and selecting the author identifier from the obtained author identifier set as a candidate author identifier to obtain a candidate author identifier set.
In some embodiments, selecting a candidate author identification from a set of candidate author identifications includes: acquiring attribute values of target attributes of authors indicated by candidate author identifications in the candidate author identification set, wherein the target attributes are used for representing the quality of works of the authors; and selecting a target number of candidate author identifications from the candidate author identification set according to the sequence of the attribute values of the target attributes from large to small.
In a second aspect, an embodiment of the present disclosure provides an apparatus for pushing information, the apparatus including: an acquisition unit configured to acquire, as a target work, a work on which a preset operation is performed by a target user; the determining unit is configured to determine a candidate author identification set according to the target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity greater than a preset similarity threshold value with the target work; and the selecting unit is configured to select a candidate author identification from the candidate author identification set, and push the related information of the author indicated by the selected candidate author identification to the terminal equipment corresponding to the target user.
In some embodiments, the determining unit is further configured to: determining the works with the similarity greater than the similarity threshold value with the target works from the target work set as candidate works to obtain a candidate work set; and acquiring the identifier of the author of the candidate works in the candidate work set as the candidate author identifier to obtain the candidate author identifier set.
In some embodiments, the determining unit is further configured to: determining category information indicating a category to which the target work belongs; selecting works belonging to the category indicated by the category information from the target work set to obtain a work subset; and determining the works with the similarity greater than the similarity threshold value from the subset of the works as candidate works.
In some embodiments, the determining unit is further configured to: determining an author identifier for identifying an author of the target work as a target identifier; acquiring a preset author identification set corresponding to the target identification, wherein the works of authors indicated by the author identification in the acquired author identification set and the works of authors indicated by the target identification meet preset conditions; and selecting the author identifier from the obtained author identifier set as a candidate author identifier to obtain a candidate author identifier set.
In some embodiments, the selecting unit is further configured to: acquiring attribute values of target attributes of authors indicated by candidate author identifications in the candidate author identification set, wherein the target attributes are used for representing the quality of works of the authors; and selecting a target number of candidate author identifications from the candidate author identification set according to the sequence of the attribute values of the target attributes from large to small.
In a third aspect, an embodiment of the present disclosure provides a server, including: one or more processors; storage means 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 the method as described in any implementation of the first aspect.
In a fourth aspect, embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, which computer program, when executed by a processor, implements the method as described in any of the implementations of the first aspect.
According to the method and the device for pushing the information, works which are subjected to preset operations by a target user are obtained and used as target works; determining a candidate author identification set according to a target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity greater than a preset similarity threshold with the target work; the candidate author identification is selected from the candidate author identification set, and the related information of the author indicated by the selected candidate author identification is pushed to the terminal device corresponding to the target user, so that the author of other works similar to the contents of the target work browsed by the author can be recommended to the user, the user can browse the recommended works of the author, a new mode for selecting the browsed works is provided for the user, and meanwhile, the exposure rate of other works similar to the target work is improved.
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Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which one embodiment of the present disclosure may be applied;
FIG. 2 is a flow diagram for one embodiment of a method for pushing information, according to the present disclosure;
FIG. 3 is a schematic diagram of one application scenario of a method for pushing information according to an embodiment of the present disclosure;
FIG. 4 is a flow diagram of yet another embodiment of a method for pushing information according to the present disclosure;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for pushing information in accordance with the present disclosure;
FIG. 6 is a schematic structural diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 shows an exemplary architecture 100 to which embodiments of the method for pushing information or the apparatus for pushing information of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 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 terminal devices 101, 102, 103 may interact with the server 105 via the network 104 to receive or transmit information or the like. Various client applications may be installed on the terminal devices 101, 102, 103. Such as browser-like applications, social-like applications, content sharing-like applications, and the like.
The terminal apparatuses 101, 102, and 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, smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., multiple pieces of software or software modules to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 105 may be a server that provides various services, such as a backend server that provides support for client applications installed on the terminal devices 101, 102, 103. The server 105 may push, to the terminal apparatuses 101, 102, 103, information about an author indicated by the candidate author identification according to a work on which a preset operation has been performed by users corresponding to the terminal apparatuses 101, 102, 103.
It should be noted that the method for pushing information provided by the embodiment of the present disclosure is generally performed by the server 105, and accordingly, the apparatus for pushing information is generally disposed in the server 105.
The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server 105 is software, it may be implemented as multiple pieces of software or software modules (e.g., multiple pieces of software or software modules used to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
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 in accordance with the present disclosure is shown. The method for pushing the information comprises the following steps:
step 201, acquiring a work which is executed with preset operation by a target user as a target work.
In this embodiment, an executing agent (e.g., the server 105 shown in fig. 1) of the method for pushing information may first obtain a target work from a local or other storage device (e.g., the terminal device shown in fig. 1, a database to which the executing agent is connected, etc.).
The target user may be a user specified by a technician in advance, or a user selected according to a preset condition (e.g., sending a preset request). A work may refer to various forms of work including, but not limited to, text, images, audio, video, and the like.
Wherein the preset operation may be an operation previously designated by a technician. It should be understood that different operations may be pre-specified, depending on the particular form of the work. Of course, different operations may be performed in advance according to actual application requirements. As an example, the preset operation may include an operation of sharing an address of a page where the work is located, an operation of commenting on the work, and the like.
The preset operation may be an operation with a certain conditional restriction. As an example, the preset operation may be a browsing operation in which the browsing time exceeds a preset time threshold, a browsing operation in which the browsing number exceeds a preset number threshold, or the like.
In some cases, the terminal device used by the target user may record the user's behavioral data. At this time, the execution main body may acquire behavior data of the user from the terminal device, and analyze the behavior data of the user to determine information of a work on which a preset operation is executed by the target user. Further, the corresponding work may be located on a local or other storage device (e.g., a connected database) based on the determined work information.
Of course, the terminal device used by the target user may directly record the information of the work on which the target user performed the preset operation, and send the recorded information of the work to the execution main body. The execution topic may then search for the corresponding work from the information of the work in a local or other storage device (e.g., a connected database).
The execution main body can also acquire works which are executed by preset operations by the target user from the third-party data platform.
In this embodiment, the author identification may be used to identify an author. Under different scenes, various different author identifications can be flexibly adopted. For example, the author identification may be a registered account of the author, a mailbox address of the author, and an identification of a terminal device used by the author (e.g., an internet protocol address, a physical address, a device identification code, etc.). The candidate author identification may be any author identification.
In this embodiment, the author indicated by the candidate author identification in the candidate author identification set may have a work whose similarity with the target work is greater than a preset similarity threshold. Wherein, the similarity threshold value can be set by a technician in advance according to the application requirement.
In this embodiment, the candidate author identification set may be determined in a variety of different ways depending on the target work. As an example, an association relationship may be established in advance between any two works whose similarity is greater than the above-described similarity threshold. Therefore, for the target work, other works with the similarity larger than the similarity threshold value with the target work can be found according to the pre-established association relation. Then, the author identification of the found author of each work can be used as a candidate author identification, so that a candidate author identification set is obtained.
The local or corresponding database of the execution main body may store in advance an association relationship between each work and an author identifier of a corresponding author. Therefore, after the candidate works are determined, the author identification of the corresponding author can be searched according to the association relation.
In some optional implementation manners of this embodiment, a work whose similarity to the target work is greater than the similarity threshold may be determined from the target work set as a candidate work to obtain a candidate work set. Then, the identifier of the author of the candidate work in the candidate work set may be obtained as the candidate author identifier, so as to obtain the candidate author identifier set.
Wherein the target work set may be a work set composed of works specified by a technician. The target work set may also be a work set obtained from other data platforms.
Under different scenes, different modes can be selected to determine the candidate work set from the target work set. For example, for each work, a set of works whose similarity to the work is greater than a similarity threshold may be established in advance. At this time, the work set corresponding to the target work can be directly acquired as the candidate work set.
For another example, the similarity between each of the works in the target work set and the target work may be sequentially determined, and then the works having the similarity with the target work greater than the similarity threshold value may be selected as candidate works, so as to obtain a candidate work set.
For any two works, the similarity between the two works can be determined by adopting various existing similarity determination methods according to different application scenes and specific application requirements. For example, feature vectors of two works may be extracted separately using the same feature extraction method. Then, the distance of the feature vectors of the two works is calculated to be used as the similarity characterization of the two works. As another example, some open-source, machine-learning-based similarity determination model may be employed to determine the similarity of two works.
Alternatively, category information indicating a category to which the target work belongs may also be determined first. Then, the works belonging to the category indicated by the category information may be selected from the target work set, resulting in a subset of the works. Then, the works with the similarity larger than the similarity threshold value with the target work can be determined from the subset of the works as candidate works.
In this way, works belonging to the same category as the target work can be screened from the target work set. Therefore, the number of the works to be compared later is effectively reduced, and the speed of determining the works with the similarity greater than the similarity threshold value as candidate works from the works of the same category can be improved.
In some optional implementations of this embodiment, an author identification for identifying an author of the target work may be determined as the target identification. Then, a preset author identification set corresponding to the target identification is obtained. The works of the authors indicated by the author identifiers in the obtained author identifier set and the works of the authors indicated by the target identifiers can meet preset conditions. Then, the author identifier may be selected from the obtained author identifier set as a candidate author identifier, thereby obtaining a candidate author identifier set.
The preset conditions can be set by technicians according to actual application requirements. For example, the preset condition may be that the major category of the work of the author indicated by the author identification is the same as the major category of the work of the author indicated by the target identification.
It should be understood that for any author, the author may have many works, and the categories to which each work belongs may vary. Of all the works of the author, the category corresponding to the largest number of contained works may be considered the primary category of the works of the author. Of course, in different application scenarios, the classification manner of the categories may be different.
For another example, the preset condition may be that, of all the works of the author indicated by the author identifier, there is a work whose similarity with a certain work of all the works of the author indicated by the target identifier is greater than a preset threshold.
For another example, the preset condition may be that the work with the highest visit amount of the author indicated by the author identifier is the same as the category to which the work with the highest visit amount of the author indicated by the target identifier belongs, and the similarity is greater than a certain threshold.
Specifically, for an author indicated by any author identifier, an author identifier of an author of a work that meets a preset condition with the work of the author may be obtained in advance, and a corresponding relationship between the author identifier and the obtained author identifier may be established.
In this way, the number of authors that may be candidates may be reduced. At this time, the author identifier is selected from the author identifier set corresponding to the target identifier as a candidate author identifier, so that the speed of determining the candidate author identifier set can be increased.
Specifically, for an author identifier in an author identifier set corresponding to a target identifier, all works of an author indicated by the author identifier may be obtained first. And then, respectively determining the similarity between the works and the target work, and if the works with the similarity larger than the similarity threshold exist in the works, selecting the author identifier as a candidate author identifier.
In this embodiment, all candidate author identifications in the candidate author identification set may be selected, or a specified number of candidate author identifications may be randomly selected. Author related information may refer to any information related to an author. For example, the related information may refer to a registered account number of the author, a link address of a work page of the author, and the like. Wherein a work page may refer to a page for displaying the author's work.
With continued reference to fig. 3, fig. 3 is a schematic diagram 300 of an application scenario of the method for pushing information according to the present embodiment. In the application scenario of fig. 3, the execution body 301 of the method for pushing information may first obtain, from the terminal device 302 used by the target user, the work P0 that has been browsed by the target user for more than 5 minutes.
Then, the similarity between each of the works in the work set 304 stored in the database 303 connected to the execution main body 301 and the work P0 may be determined in turn. Then, the works with similarity greater than the preset similarity threshold 305 to the work P0 may be selected as candidate works, resulting in a candidate work set 306. As shown by reference numeral 306, the candidate work set includes three works, P2, P3 and P4.
Thereafter, author identifications of authors respectively corresponding to the work sets in the candidate work set 306 may be obtained from the database 303. As shown by reference numeral 307 in the figure, the author of the work P2 is identified as ID2, the author of the work P3 is identified as ID2, and the author of the work P4 is identified as ID 4.
Further, the obtained author identification ID1, ID2, ID3 may be pushed to the terminal device 302 used by the target user. The specific effect may be as shown by reference numeral 308 in the figure, and the terminal device 302 may receive and display the author identifier for performing the pushing of the main body 301.
According to the method provided by the embodiment of the disclosure, according to the target work which is executed by the target user and operated in the preset manner, the author identifier of the author of the work with the similarity greater than the preset similarity threshold value with the target work is determined, and the determined author identifier is pushed to the terminal device corresponding to the target user, so that the target user can quickly browse the works of the authors indicated by the author identifiers according to the received author identifier, which is beneficial to improving the speed of browsing the favorite works by the target user, and realizing higher-quality personalized recommendation.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method for pushing information is shown. The flow 400 of the method for pushing information comprises the following steps:
The specific implementation process of steps 401 and 402 can refer to the related description of steps 201 and 202 in the corresponding embodiment of fig. 2, and is not repeated herein.
In step 403, the attribute values of the target attributes of the authors indicated by the candidate author identifications in the candidate author identification set are obtained.
In the present embodiment, the target attribute may be an attribute previously specified by a technician. The target attribute may also be a target attribute determined from the target work. For example, different target attributes may be set for different categories of target works.
Wherein the target attributes may be used to characterize the quality of the author's work. As an example, the target attribute may be a quality score representing the quality of the author's work. The higher the quality score, the higher the quality of the work that may represent the author.
As an example, the target attribute may be some statistics of the author's work (e.g., total number of times browsed, total number of times shared, etc.). These statistics may be used to characterize the quality of the author's work, as these statistics may intuitively reflect the popularity of the author's work. The higher these statistics, the higher the quality of the work that may represent the author.
By way of example, the target attribute may be author rating information (e.g., number of users interested in the author, such as an account rating of the author, etc.). Since the rating information is generally related to the amount of access and the likeness corresponding to the author's work, the quality of the author's work may be characterized by the author's rating information as well as from an aspect. The higher the rank information, the higher the quality of the work that can represent the author.
Of course, the target attribute may be any combination of the above-described individual attributes.
The database corresponding to the execution subject may store an attribute value of a target attribute of an author. At this time, the attribute value of the target attribute of the author indicated by the candidate author identification in the candidate author identification set may be acquired from the corresponding database. Of course, the execution subject may also obtain the attribute value of the target attribute of the author indicated by the candidate author identifier in the candidate author identifier set from the third-party data platform.
And step 404, selecting a target number of candidate author identifications from the candidate author identification set according to the sequence of the attribute values of the target attributes from large to small.
In this embodiment, the target number may be specified by a technician. The target number may also be determined from the set of candidate author identifications. For example, the target number may be twenty percent of the total number of candidate author identifications included in the set of candidate author identifications.
The specific execution process of step 405 may refer to the related description of step 203 in the corresponding embodiment of fig. 2, and is not repeated herein.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for pushing information in the present embodiment highlights a step of selecting a candidate author identification according to an attribute value of a target attribute of an author indicated by the candidate author identification, which may reflect the quality of the work. Therefore, according to the scheme described in this embodiment, after the author identifier of the author of the candidate work with the similarity greater than the similarity threshold value with the target work is determined, the author identifier can be further screened, and the author identifier with relatively high quality of the work can be selected, so that the quality of the work of the author pushed to the target user can be ensured, and the exposure rate of the work with high quality can be improved.
With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides an embodiment of an apparatus for pushing information, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 5, the apparatus 500 for pushing information provided by the present embodiment includes an obtaining unit 501, a determining unit 502, and a selecting unit 503. The obtaining unit 501 is configured to obtain a work on which a preset operation is performed by a target user as a target work; the determining unit 502 is configured to determine a candidate author identification set according to the target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity to the target work greater than a preset similarity threshold; the selecting unit 503 is configured to select a candidate author identification from the candidate author identification set, and push information about an author indicated by the selected candidate author identification to a terminal device corresponding to the target user.
In the present embodiment, in the apparatus 500 for pushing information: the specific processing of the obtaining unit 501, the determining unit 502, and the selecting unit 503 and the technical effects thereof can refer to the related descriptions of step 201, step 202, and step 203 in the corresponding embodiment of fig. 2, which are not repeated herein.
In some optional implementations of the present embodiment, the determining unit 502 is further configured to: determining the works with the similarity greater than the similarity threshold value with the target works from the target work set as candidate works to obtain a candidate work set; and acquiring the identifier of the author of the candidate works in the candidate work set as the candidate author identifier to obtain the candidate author identifier set.
In some optional implementations of the present embodiment, the determining unit 502 is further configured to: determining category information indicating a category to which the target work belongs; selecting works belonging to the category indicated by the category information from the target work set to obtain a work subset; and determining the works with the similarity greater than the similarity threshold value from the subset of the works as candidate works.
In some optional implementations of the present embodiment, the determining unit 502 is further configured to: determining an author identifier for identifying an author of the target work as a target identifier; acquiring a preset author identification set corresponding to the target identification, wherein the works of authors indicated by the author identification in the acquired author identification set and the works of authors indicated by the target identification meet preset conditions; and selecting the author identifier from the obtained author identifier set as a candidate author identifier to obtain a candidate author identifier set.
In some optional implementations of this embodiment, the selecting unit 503 is further configured to: acquiring attribute values of target attributes of authors indicated by candidate author identifications in the candidate author identification set, wherein the target attributes are used for representing the quality of works of the authors; and selecting a target number of candidate author identifications from the candidate author identification set according to the sequence of the attribute values of the target attributes from large to small.
According to the device provided by the embodiment of the disclosure, a work which is executed with preset operation by a target user is acquired as a target work through an acquisition unit; the determining unit determines a candidate author identification set according to the target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity larger than a preset similarity threshold value with the target work; the selecting unit selects the candidate author identification from the candidate author identification set and pushes the related information of the author indicated by the selected candidate author identification to the terminal device corresponding to the target user, so that the author of other works similar to the contents of the target work browsed by the author can be recommended to the user, the user can browse the recommended works of the author, a new mode for selecting the browsed works is provided for the user, and meanwhile, the exposure rate of other works similar to the target work is improved.
Referring now to FIG. 6, a schematic diagram of an electronic device (e.g., the server of FIG. 1) 600 suitable for use in implementing embodiments of the present disclosure is shown. The server shown in fig. 6 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. 6, electronic device 600 may include a processing means (e.g., central processing unit, graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 6 may represent one device or may represent multiple devices as desired.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of embodiments of the present disclosure.
It should be noted that the computer readable medium described in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having 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. In embodiments of the 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. In embodiments of the present disclosure, however, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the server; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a work which is executed with preset operation by a target user and is used as a target work; determining a candidate author identification set according to a target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity greater than a preset similarity threshold with the target work; and selecting a candidate author identification from the candidate author identification set, and pushing the related information of the author indicated by the selected candidate author identification to the terminal equipment corresponding to the target user.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a determination unit, and a selection unit. Here, the names of these units do not constitute a limitation to the unit itself in some cases, and for example, the acquisition unit may also be described as a "unit that acquires a work on which a preset operation is performed by a target user as a target work".
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A method for pushing information, comprising:
acquiring a work which is subjected to preset operation by a target user and serves as a target work, wherein the target work is not the work of the target user;
determining a candidate author identification set according to the target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity to the target work larger than a preset similarity threshold;
selecting candidate author identifications from the candidate author identification set according to the sequence of the quality of the corresponding works from big to small, and pushing related information of authors indicated by the selected candidate author identifications to terminal equipment corresponding to the target user, wherein the main categories of the works of the authors indicated by the selected candidate author identifications are the same as the main categories of the works of the authors of the target works;
wherein, the determining a candidate author identification set according to the target work comprises: determining a work with the content similarity greater than the similarity threshold value with the target work from a preset target work set as a candidate work to obtain a candidate work set; and acquiring the identifier of the author of the candidate works in the candidate work set as a candidate author identifier to obtain the candidate author identifier set.
2. The method of claim 1, wherein the determining, from a target work set, works having a similarity to the target work greater than the similarity threshold as candidate works comprises:
determining category information representing a category to which the target work belongs;
selecting works belonging to the category indicated by the category information from the target work set to obtain a work subset;
and determining the works with the similarity greater than the similarity threshold value with the target work from the subset of the works as candidate works.
3. The method of claim 1, wherein the determining a set of candidate author identifications from the target work:
determining an author identifier for identifying an author of the target work as a target identifier;
acquiring a preset author identification set corresponding to the target identification, wherein the works of authors indicated by the author identification in the acquired author identification set and the works of authors indicated by the target identification meet preset conditions;
and selecting an author identifier from the obtained author identifier set as a candidate author identifier to obtain the candidate author identifier set.
4. The method according to one of claims 1 to 3, wherein said selecting a candidate author identification from said set of candidate author identifications comprises:
obtaining attribute values of target attributes of authors indicated by the candidate author identifications in the candidate author identification set, wherein the target attributes are used for representing the quality of works of the authors;
and selecting a target number of candidate author identifications from the candidate author identification set according to the sequence of the attribute values of the target attributes from large to small.
5. An apparatus for pushing information, wherein the apparatus comprises:
an acquisition unit configured to acquire, as a target work, a work on which a preset operation is performed by a target user, wherein the target work is not a work of the target user;
a determining unit configured to determine a candidate author identification set according to the target work, wherein authors indicated by candidate author identifications in the candidate author identification set have works with similarity to the target work larger than a preset similarity threshold;
the selecting unit is configured to select candidate author identifications from the candidate author identification set according to the sequence that the quality of the corresponding works is reduced from high to low, and push related information of authors indicated by the selected candidate author identifications to terminal equipment corresponding to the target user, wherein the main categories of the works of the authors indicated by the selected candidate author identifications are the same as the main categories of the works of the authors of the target works;
wherein the determination unit is further configured to: determining a work with the content similarity greater than the similarity threshold value with the target work from a preset target work set as a candidate work to obtain a candidate work set; and acquiring the identifier of the author of the candidate works in the candidate work set as a candidate author identifier to obtain the candidate author identifier set.
6. The apparatus of claim 5, wherein the determination unit is further configured to:
determining category information representing a category to which the target work belongs;
selecting works belonging to the category indicated by the category information from the target work set to obtain a work subset;
and determining the works with the similarity greater than the similarity threshold value with the target work from the subset of the works as candidate works.
7. The apparatus of claim 5, wherein the determination unit is further configured to:
determining an author identifier for identifying an author of the target work as a target identifier;
acquiring a preset author identification set corresponding to the target identification, wherein the works of authors indicated by the author identification in the acquired author identification set and the works of authors indicated by the target identification meet preset conditions;
and selecting an author identifier from the obtained author identifier set as a candidate author identifier to obtain the candidate author identifier set.
8. The apparatus according to one of claims 5-7, wherein the selecting unit is further configured to:
obtaining attribute values of target attributes of authors indicated by the candidate author identifications in the candidate author identification set, wherein the target attributes are used for representing the quality of works of the authors;
and selecting a target number of candidate author identifications from the candidate author identification set according to the sequence of the attribute values of the target attributes from large to small.
9. A server, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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| CN110932963B (en) * | 2019-11-21 | 2020-11-03 | 北京达佳互联信息技术有限公司 | Multimedia resource sharing method, system, device, terminal, server and medium |
| CN111524418A (en) * | 2020-03-16 | 2020-08-11 | 北京编程猫科技有限公司 | Method and device for improving graphical programming level of user |
| CN113763098A (en) * | 2020-12-21 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Method and device for determining an item |
| CN112667906A (en) * | 2020-12-31 | 2021-04-16 | 上海众源网络有限公司 | Recommendation method and device for up master and electronic equipment |
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