CN112115341B - Content display method, device, terminal, server, system and storage medium - Google Patents
Content display method, device, terminal, server, system and storage medium Download PDFInfo
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- 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
- G06F16/9532—Query formulation
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/9536—Search customisation based on social or collaborative filtering
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- 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
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- G06F16/9538—Presentation of query results
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
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Abstract
The disclosure relates to a content display method, a content display device, a terminal, a server, a content display system and a storage medium. The method comprises the following steps: receiving interactive operation implemented on a content display interface by a user; detecting that the interactive operation triggers the current content displayed on the content display interface to be associated to a set area of the content display interface, and determining that the interactive operation is a content recommendation operation; and responding to the content recommending operation, acquiring and displaying recommended content corresponding to the current content. By the method, the user can implement the operation of associating to the setting area on the current content through the content display interface of the client, the operation is convenient, and the efficiency of viewing the recommended content corresponding to the current content is improved.
Description
Technical Field
The present invention relates to the field of internet technologies, and in particular, to a content display method, device, terminal, server, system, and storage medium.
Background
The current content platform contains various contents, when a user browses a certain content through a client of the content platform, if the user wants to view more content similar to the content, the user needs to search by himself, and the specific process includes inputting content title information or keywords extracted by the user in a search box of the client, and clicking the search, so that the user can view more content similar to the content; however, this method is cumbersome to operate and has low efficiency in viewing similar content to a certain content.
Disclosure of Invention
The disclosure provides a content display method, a device, a terminal, a server, a system and a storage medium, which at least solve the problem of low efficiency of viewing similar content of a certain content in the related art. The technical scheme of the present disclosure is as follows:
in a first aspect, there is provided a content presentation method, the method comprising:
receiving interactive operation implemented on a content display interface by a user;
detecting that the interactive operation triggers the current content displayed on the content display interface to be associated to a set area of the content display interface, and determining that the interactive operation is a content recommendation operation;
and responding to the content recommending operation, acquiring and displaying recommended content corresponding to the current content.
As one embodiment, the interactive operation includes an operation of moving a content image corresponding to the current content;
the detecting that the interaction operation triggers the current content displayed by the content display interface to be associated to the setting area of the content display interface, and the determining that the interaction operation is a content recommendation operation comprises:
and detecting that the interaction operation triggers the content image corresponding to the current content to move to the setting area of the content display interface, and determining that the interaction operation is a content recommendation operation.
As one embodiment, the method further comprises:
responding to the operation of selecting the current content displayed on the content display interface by a user, acquiring a current content image of the current content when the operation is received, or acquiring a cover image corresponding to the current content, and taking the current content image or the cover image as a content image corresponding to the current content.
As one embodiment, the method further comprises:
and reducing the display size of the content image in the process that the content image corresponding to the current content is moved.
As one embodiment, the reducing the display size of the content image includes:
acquiring the moving distance of the content image in the process that the content image corresponding to the current content is moved;
and reducing the display size of the content image according to the moving distance, wherein the reduced display size of the content image and the moving distance form an inverse correlation.
As one embodiment, the method further comprises:
and amplifying the display size of the setting area in the process that the content image corresponding to the current content is moved.
As one embodiment, the enlarging the display size of the setting area includes:
Acquiring the interval distance between the content image and the set area in the process that the content image corresponding to the current content is moved;
and amplifying the display size of the set area according to the interval distance, wherein the amplified display size of the set area and the interval distance form an inverse correlation.
As one embodiment, the method further comprises:
when the content image corresponding to the current content is moved into the setting area, the display size of the content image is smaller than or equal to the display size of the setting area.
As one embodiment, the acquiring the recommended content corresponding to the current content includes:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as the recommended content.
As one embodiment, the method further comprises:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content;
and receiving the recommended content returned by the server.
As one embodiment, the obtaining, according to the tag information, the content corresponding to the current content from a content resource library, as the recommended content, includes:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
Obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
As one embodiment, the setting area includes at least two areas distributed at different positions on the content display interface, where the at least two areas respectively correspond to different recommendation modes;
the method further comprises the steps of:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring tag information corresponding to the current content, and acquiring recommended content corresponding to the current content from a content resource library according to the tag information corresponding to the current content and a target recommended mode corresponding to the target area.
As one embodiment, the obtaining, according to the tag information corresponding to the current content and the target recommendation mode corresponding to the target area, recommended content corresponding to the current content from a content resource library includes:
Determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
As one embodiment, the obtaining, according to the tag information corresponding to the current content and the target recommendation mode corresponding to the target area, the content corresponding to the current content from the content resource library as the recommended content includes:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content from a content resource library according to a target recommendation mode corresponding to the target area and label information corresponding to the current content;
and receiving the recommended content returned by the server.
As one embodiment, the obtaining tag information corresponding to the current content includes:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
The content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
As one embodiment, the tag information corresponding to each content in the content resource library is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
the determining the matching degree of the tag information of each content in the content resource library and the tag information of the current content comprises the following steps:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
As one embodiment, the method further comprises:
acquiring ordering information of the recommended content; the ranking information characterizes the recommendation degree of each recommended content;
displaying a preset content recommendation page on the content display interface, wherein the content recommendation page comprises the current content and the recommended content, and the recommended content is displayed according to the sorting information.
In a second aspect, a content presentation method, the method comprising:
responding to a content recommendation request, and acquiring recommended content corresponding to the current content; the content recommendation request is a request sent by a client when receiving interactive operation implemented on a content display interface by a user and triggering the current content displayed on the content display interface to be associated to a set area of the content display interface by the interactive operation;
and sending the recommended content to the client so as to display the recommended content on the client.
As one embodiment, the user performs the interactive operation on the content display interface, including an operation of moving a content image corresponding to the current content; the triggering of the current content displayed by the content display interface to be associated with the setting area of the content display interface comprises triggering a content image corresponding to the current content to move to the setting area of the content display interface;
the responding to the content recommendation request of the client side, obtaining the recommended content corresponding to the current content, comprises the following steps:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as recommended content.
As one embodiment, the obtaining, according to the tag information, the content corresponding to the current content from a content resource library, as recommended content, includes:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
Obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
As one embodiment, the setting area includes at least two areas distributed at different positions on the client content display interface, where the at least two areas respectively correspond to different recommendation modes;
the acquiring the recommended content corresponding to the current content comprises the following steps:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring label information corresponding to the current content, and acquiring a target recommendation mode corresponding to a target area;
and acquiring the content corresponding to the current content from a content resource library according to the target recommendation mode and the tag information, and taking the content as recommended content.
As one embodiment, according to the target recommendation mode and the tag information, obtaining the content corresponding to the current content from a content resource library, as recommended content, including:
Determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
As one embodiment, the obtaining the tag information corresponding to the current content includes:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
the content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
As one embodiment, the tag information corresponding to each content in the content resource library is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
the determining the matching degree of the tag information of each content in the content resource library and the tag information of the current content comprises the following steps:
And obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
In a third aspect, a content presentation device includes:
an operation acquisition unit configured to perform an interactive operation performed on the content presentation interface by the receiving user;
an operation determination unit configured to perform detection that the interactive operation triggers a setting area of the content presentation interface to which the current content presented by the content presentation interface is associated, and determine that the interactive operation is a content recommendation operation;
and the recommending unit is configured to execute the recommending operation responding to the content, acquire the recommended content corresponding to the current content and display the recommended content.
As one embodiment, the interactive operation includes an operation of moving a content image corresponding to the current content;
the operation judging unit is configured to execute detection that the interaction operation triggers the content image corresponding to the current content to move to the setting area of the content display interface, and determine that the interaction operation is a content recommending operation.
As one embodiment, the method further comprises:
a content image acquisition unit configured to perform an operation of responding to a user to select a current content displayed on the content display interface, acquire a current content image of the current content when the operation is received, or acquire a cover image corresponding to the current content, and take the current content image or the cover image as a content image corresponding to the current content.
As one embodiment, the method further comprises:
and a content display adjustment unit configured to perform downsizing of a display size of a content image corresponding to the current content in a process in which the content image is moved.
As one embodiment, the content display adjusting unit is further configured to perform:
acquiring the moving distance of the content image in the process that the content image corresponding to the current content is moved;
and reducing the display size of the content image according to the moving distance, wherein the reduced display size of the content image and the moving distance form an inverse correlation.
As one embodiment, the method further comprises:
and an area display adjustment unit configured to perform enlargement of a display size of the set area in a process in which the content image corresponding to the current content is moved.
As one embodiment, the area display adjusting unit is further configured to perform:
acquiring the interval distance between the content image and the set area in the process that the content image corresponding to the current content is moved;
and amplifying the display size of the set area according to the interval distance, wherein the amplified display size of the set area and the interval distance form an inverse correlation.
As one embodiment, the content display adjusting unit is further configured to perform:
when the content image corresponding to the current content is moved into the setting area, the display size of the content image is smaller than or equal to the display size of the setting area.
As one embodiment, the recommending unit is further configured to perform:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as the recommended content.
As one embodiment, the recommending unit is further configured to perform:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content;
And receiving the recommended content returned by the server.
As one embodiment, the recommending unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
Obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
As one embodiment, the setting area includes at least two areas distributed at different positions on the content display interface, where the at least two areas respectively correspond to different recommendation modes;
the recommendation unit is further configured to perform:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring tag information corresponding to the current content, and acquiring recommended content corresponding to the current content from a content resource library according to the tag information corresponding to the current content and a target recommended mode corresponding to the target area.
As one embodiment, the recommending unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
And screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
As one embodiment, the recommending unit is further configured to perform:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content from a content resource library according to a target recommendation mode corresponding to the target area and label information corresponding to the current content;
and receiving the recommended content returned by the server.
As one embodiment, the recommendation unit includes a tag determination module configured to perform:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
the content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
As one embodiment, the tag information corresponding to each content in the content resource library is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
The recommendation unit is further configured to perform:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
As one embodiment, the recommending unit is further configured to perform:
acquiring ordering information of the recommended content; the ranking information characterizes the recommendation degree of each recommended content;
displaying a preset content recommendation page on the content display interface, wherein the content recommendation page comprises the current content and the recommended content, and the recommended content is displayed according to the sorting information.
In a fourth aspect, a content display apparatus includes:
a content acquisition unit configured to perform acquisition of recommended content corresponding to the current content in response to the content recommendation request; the content recommendation request is a request sent by a client when receiving interactive operation implemented on a content display interface by a user and triggering the current content displayed on the content display interface to be associated to a set area of the content display interface by the interactive operation;
And the content sending unit is configured to send the recommended content to the client so as to display the recommended content on the client.
As one embodiment, the user performs the interactive operation on the content display interface, including an operation of moving a content image corresponding to the current content; the triggering of the current content displayed by the content display interface to be associated with the setting area of the content display interface comprises triggering a content image corresponding to the current content to move to the setting area of the content display interface;
the content acquisition unit is further configured to perform:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as recommended content.
As one embodiment, the content acquisition unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
selecting the recommended content from the candidate content in at least one of the following ways:
Acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
As one embodiment, the setting area includes at least two areas distributed at different positions on the client content display interface, where the at least two areas respectively correspond to different recommendation modes;
the content acquisition unit is further configured to perform:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring label information corresponding to the current content, and acquiring a target recommendation mode corresponding to a target area;
and acquiring the content corresponding to the current content from a content resource library according to the target recommendation mode and the tag information, and taking the content as recommended content.
As one embodiment, the content acquisition unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
As one embodiment, the content acquisition unit includes a tag determination module configured to perform:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
the content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
As one embodiment, the tag information corresponding to each content in the content resource library is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
the content acquisition unit is further configured to perform:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
In a fifth aspect, there is provided a terminal comprising:
a processor;
a memory for storing the processor-executable instructions;
Wherein the processor is configured to execute the instructions to implement the content presentation method as described in any of the method embodiments of the first aspect above.
In a sixth aspect, there is provided a server comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the content presentation method of any of the method embodiments of the second aspect described above.
In a seventh aspect, there is provided a content presentation system including the terminal according to the fifth aspect, and the server according to the sixth aspect.
In an eighth aspect, a storage medium is provided, in which instructions are executed by a processor of an electronic device, to enable the electronic device to perform the content presentation method as described in any one of the method embodiments of the first aspect above.
A ninth aspect provides a storage medium, which when executed by a processor of a server, enables the server to perform the content presentation method as in any one of the method embodiments of the second aspect above.
In a tenth aspect, there is provided a computer program product comprising a computer program stored in a readable storage medium, from which at least one processor of a device reads and executes the computer program, causing the device to perform the content presentation method as described in any one of the embodiments of the first or second aspects.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
the user can implement the operation of associating the current content to the set area through the content display interface of the client, so as to trigger a content recommendation function, and display recommended content corresponding to the current content to the user through the client; the user can check the recommended content corresponding to the current content through the client only by implementing the operation of associating to the setting area aiming at the current content displayed by the client, search information is not required to be input through the client, the user is convenient to operate, and the efficiency of checking similar content of the current content is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
Fig. 1 is an application environment diagram illustrating a content presentation method according to an exemplary embodiment.
Fig. 2 is a flow chart illustrating a content presentation method according to an exemplary embodiment.
Fig. 3 is a page effect diagram illustrating a content presentation method according to an exemplary embodiment.
FIG. 4 is a page effect diagram showing recommended content, according to an example embodiment.
Fig. 5 is a page effect diagram illustrating a content presentation method according to another exemplary embodiment.
Fig. 6 is an interactive flow diagram illustrating a content presentation method according to an exemplary embodiment.
Fig. 7 is a block diagram of a content presentation device of a client shown according to an example embodiment.
Fig. 8 is a block diagram of a content presentation device at a server side, according to an example embodiment.
Fig. 9 is an internal structural diagram of an electronic device, which is shown according to an exemplary embodiment.
Fig. 10 is an internal structural diagram of another electronic device shown according to an exemplary embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The content display method provided by the disclosure can be applied to an application environment as shown in fig. 1. Wherein the electronic device 100 interacts with the server 200 via a network. The electronic device 100 has a client installed therein, and the client may be a community-type application program, through which a user may view content information contained in a platform, such as video information, image set information, audio information, live broadcast information, and the like. The server 200 may also push corresponding recommended content to the client.
The electronic device 100 may be, but not limited to, various personal computers, notebook computers, smartphones, and tablet computers, and the server 200 may be, but not limited to, implemented as a stand-alone server or a server cluster composed of a plurality of servers.
Fig. 2 is a flow chart of a content presentation method, as shown in fig. 2, for use in an electronic device, according to an exemplary embodiment, including the following steps.
In step 201, an interactive operation performed on a content presentation interface by a user is received.
One or more pieces of content information can be displayed to the user through the content display interface, and the current content belongs to one or more pieces of content information currently displayed to the user by the client. The user-implemented interactive operation on the current content may include a variety of alternative forms of interactive operation including, but not limited to, at least one of a touch operation, a non-contact gesture operation, a voice operation, a gaze operation.
Step 202, detecting that the interaction operation triggers the current content displayed on the content display interface to be associated to a set area of the content display interface, and determining that the interaction operation is a content recommendation operation.
In the disclosure, an interactive operation of associating the current content displayed on the content display interface to a setting area of the content display interface is preset, and the interactive operation needs to be different from other content interactive operations of a user, so as to effectively determine that the interactive operation implemented by the user on the current content is an operation for triggering content recommendation. The above-described interactive operation for triggering content recommendation may include any form of interactive operation including, but not limited to, at least one of a touch operation, a non-contact gesture operation, a voice operation, a gaze operation.
And step 203, responding to the content recommending operation, acquiring and displaying recommended content corresponding to the current content.
In the present disclosure, the recommended content is a content corresponding to a current content of a user performing an interactive operation, and the number of recommended contents is not limited. And, the client may display the recommended content in any feasible manner, for example, a list or grid, a single-column or multi-column, a single-screen display or multi-screen display, a static display or dynamic display, and the like.
Based on the method of the above embodiment of the present disclosure, a user may implement an operation of associating a current content to a set area through a content display interface of a client, thereby triggering a content recommendation function, and displaying a recommended content corresponding to the current content to the user through the client; the user can see more content similar to the current content through the client only by implementing a specific operation on the current content displayed by the client, and does not need to input information such as content titles or keywords for searching through the client, so that the user is convenient to operate, and the efficiency of viewing the corresponding content of the current content is improved.
In an exemplary embodiment, the interactive operation includes an operation of moving a content image corresponding to the current content; correspondingly, the method further comprises:
and detecting that the interaction operation triggers the content image corresponding to the current content to move to the setting area of the content display interface, and determining that the interaction operation is a content recommendation operation.
In the present disclosure, the content image corresponding to the current content may be a content image that is being displayed when the current content is subjected to the above-described interactive operation, or may be a cover image corresponding to the current content, or may be another content image selected by the user.
According to the embodiment, the content image corresponding to the current content is moved to the set area, so that the content recommending function of the client is triggered, and compared with a traditional mode that a user inputs related information by himself to search for the content, the user is convenient to operate, and the efficiency of checking the corresponding content of the current content is improved; and visual operation feedback can be provided for the user by moving the content image corresponding to the current content, so that misoperation of the user is prevented.
In one exemplary embodiment, the content presentation method of the present disclosure further includes: responding to the operation of selecting the current content displayed on the content display interface by a user, acquiring a current content image of the current content when the operation is received, or acquiring a cover image corresponding to the current content, and taking the current content image or the cover image as a content image corresponding to the current content.
The method comprises the steps of acquiring position change information of a content image corresponding to the current content, and determining that the interaction operation triggers the movement of the content image corresponding to the current content to a setting area of a content display interface if the content image corresponding to the current content is detected to enter the setting area from outside the setting area according to the position change information, so that the interaction operation is determined to belong to interaction for triggering content recommendation.
The number of the setting areas may be one or a plurality of. The setting area may be an area within the client screen display area, such as one or more corner areas up, down, left, and right within the screen display area; in some embodiments, the setting area may also be an edge of the client screen display area, or even an area outside the screen display area, such as a hidden area in one or more directions up, down, left, and right outside the screen display area. Further, in order to prevent erroneous operation, a setting area, such as setting area 2 shown in fig. 3, may be explicitly displayed in the client screen display area; further, in order to prompt the user about the function corresponding to the area, corresponding prompt information, for example, "find similarity" may be displayed near the setting area 2.
It will be appreciated that the explicit display mode (including shape, size, rendering effect, hint information, etc.) of the area 2 is set, including but not limited to the display mode shown in fig. 3.
The operation information for moving the content image corresponding to the current content to the setting area may be operation information for dragging the content image corresponding to the current content to the setting area, or other multi-touch operation information for moving the content image corresponding to the current content to the setting area. The criterion that the content image corresponding to the current content enters the setting area from the outside of the setting area may be that the content image portion corresponding to the current content enters the setting area, or that the content image corresponding to the current content completely enters the setting area, and the corresponding criterion may be set based on the actual situation.
Through the embodiment, the user performs the moving or dragging operation on the currently displayed content on the content display interface, the client detects the operation, acquires the corresponding content image and displays the content image, and continuously displays the content image in the operation process of the user, so that visual feedback is provided for the user in time, the moving or dragging operation performed on the current content by the user is indicated to be effective, and misoperation of the user is prevented.
In an exemplary embodiment, the content presentation method further includes the steps of:
and reducing the display size of the content image corresponding to the current content in the client in the process that the content image corresponding to the current content is moved.
Through the embodiment, in the operation process of the user on the current content, the display size of the content image corresponding to the current content is adjusted, so that the display size can be used as a timely feedback mechanism of an operation effect, and misoperation on the current content can be prevented to a certain extent.
The manner of reducing the display size of the content image corresponding to the current content at the client is as follows: acquiring the moving distance of the content image corresponding to the current content in the process that the content image corresponding to the current content is moved; and reducing the display size of the content image corresponding to the current content on the client according to the moving distance, wherein the display size of the reduced current content and the moving distance form an inverse correlation.
Specifically, the display size of the content image corresponding to the current content can be reduced at a constant speed according to the original display size and the minimum display size corresponding to the content image corresponding to the current content in combination with the distance currently moved, so that the display size is reduced from the original display size to the minimum display size at a constant speed in the moving process of the content image corresponding to the current content, and the continuity of the display size change in the moving process of the content image corresponding to the current content is ensured.
The original display size and the minimum display size corresponding to the content image corresponding to the current content can be set according to actual conditions; for example, the original display size of the content image corresponding to the current content may be the full-screen size of the client, or 80% or 50% of the full-screen size of the client, and the user may be given more remarkable visual feedback than the full-screen size.
As an exemplary embodiment, when the user triggers an operation for the current content, the current display size of the current content may be first set as the original display size of the content image corresponding thereto, and in the subsequent movement, the display size of the content image corresponding to the current content is gradually reduced from the original display size to be able to be completely displayed in the setting area 2.
As another exemplary embodiment, when the user triggers an operation for the current content, the display size of the content image corresponding to the current content may be adjusted to a preset original display size, for example, as shown in fig. 3 (a), when the current content is normally displayed by the client, the display size corresponding to the current content is full screen of the client, when it is detected that the user presses the operation information for selecting the current content for a long time, the content image 1 corresponding to the current content is acquired, the display size of the content image 1 corresponding to the current content is adjusted to the original display size shown in fig. 3 (b), and in the subsequent moving process, the display size of the content image 1 corresponding to the current content is gradually reduced from the original display size to a changing process capable of being completely displayed in the setting area 2, for example, 3 (b) to 3 (d). By the method, the user can timely feedback that the operation on the current content is effective.
In addition, in the process of reducing the display size of the content image corresponding to the current content, the display proportion of the content image corresponding to the current content can be kept unchanged, and the content deformation in the moving process of the content image corresponding to the current content is avoided.
Through the embodiment, in the process of moving the corresponding content image of the current content, the display size of the corresponding content image is gradually adjusted from large to small according to the moved distance of the corresponding content image of the current content, on one hand, the method is used as a feedback mechanism for feeding back the response condition of the current operation to the user, so that the interest of the user in the operation is improved, and the misoperation of the user is prevented; meanwhile, the display smoothness of the client is ensured by gradually adjusting the display size.
In an exemplary embodiment, the content presentation method may further include: and amplifying the display size of the setting area in the process that the content image corresponding to the current content is moved.
In order not to affect the content display effect, the display size of the setting area is generally smaller, so that the operation difficulty of moving the content image corresponding to the current content to the setting area by the user is possibly caused to be larger.
The specific manner of enlarging the display size of the setting area is as follows: acquiring the interval distance between the content image corresponding to the current content and the set area in the process that the current content is moved; and amplifying the display size of the set area according to the interval distance, wherein the amplified display size of the set area and the interval distance form an inverse correlation.
Specifically, according to the original display size and the maximum display size corresponding to the set area, the display size of the set area can be enlarged at a constant speed by combining the distance between the content image corresponding to the current content and the set area, so that the display size of the set area is enlarged from the original display size to the maximum display size at a constant speed in the current content moving process, and the interaction effect is improved. In addition, when the display size of the setting area is enlarged, the shape of the setting area can be kept unchanged, and the deformation of the setting area can be avoided.
The original display size and the minimum display size corresponding to the content image corresponding to the current content and the original display size and the maximum display size corresponding to the setting area can be respectively set; for example, the original display size of the content image corresponding to the current content is generally larger, the maximum may be the full-screen size of the client, and the original display size of the set area is generally smaller to prevent blocking normal content browsing.
According to the method, in the process that the user moves the content image corresponding to the current content, the display size of the set area is amplified at uniform speed, the operation difficulty of the user in moving the content image corresponding to the current content to the set area is reduced, the operation efficiency is guaranteed, and meanwhile the display smoothness of the client is guaranteed.
Further, when the content image corresponding to the current content is moved into the setting area, the display size of the content image corresponding to the current content is adapted to the display size of the setting area, that is, the display size of the content image needs to be smaller than or equal to the display size of the setting area. For example as shown in fig. 3 (d).
By the embodiment, when the content image corresponding to the current content is completely moved to the set area, the content recommending function of the client is triggered, so that misoperation can be further prevented.
As an exemplary embodiment, the content presentation method further includes: acquiring label information corresponding to the current content; and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as recommended content corresponding to the current content.
The tag information of the current content includes, but is not limited to, publisher information, content style information, character, animal, landscape information and the like contained in the content, specifically for example: fresh, lovely, star, grassland and other label information.
The tag information corresponding to the current content may be tag information selected by the publisher when the publisher publishes the content, or may be tag information obtained based on content analysis.
According to the embodiment, the recommended content similar to the current content in style or tone can be obtained from the content resource library based on the label information of the current content, so that the accuracy of the recommended content is improved; and the recommended content is determined by comparing the label information of different contents, so that compared with the matching of the content and the content, the data processing amount is reduced, and the efficiency of displaying the recommended content corresponding to the current content to the user is improved.
As an exemplary embodiment, the client may obtain, through the server, recommended content corresponding to the current content, and the specific embodiment may include:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content and returning the recommended content to the client; and the client receives the recommended content returned by the server.
In the embodiment, the client can send the identification information of the current content to the server, perform tag analysis on the server, and complete the process of selecting the recommended content from the content resource library based on the server.
As another exemplary embodiment, the client may further autonomously obtain recommended content corresponding to the current content, and the specific embodiment may include: after obtaining the tag information corresponding to the current content, the client determines the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and obtains the content with the matching degree larger than a set threshold value from the content resource library as a candidate content; and selecting the recommended content from the candidate content by at least one of the following modes:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
Acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
Through the embodiment, the client terminal autonomously acquires the recommended content corresponding to the current content, the interaction process with the server terminal is simple, the server is not needed, and the influence from a network or the server is small.
As an exemplary embodiment, the client or the server may acquire tag information of the current content in the following manner:
Inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model; the content classification model is obtained based on training of a content sample and a classification label corresponding to the content sample, and is used for identifying at least one classification label corresponding to input content.
The label information corresponding to the current content is obtained through the pre-trained content classification model, so that more objective label information can be obtained, and the problem that the recommended content displayed to the user is not similar to the current content due to inaccurate label information set by the content publisher can be avoided to a certain extent.
As an exemplary embodiment, the tag information corresponding to each content in the content resource library may include a tag vector of at least one classification tag, and the tag information of the current content may include a tag vector of at least one classification tag; the determining, by the server or the client, the matching degree between the tag information of each content in the content resource library and the tag information of the current content may specifically include:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
Since each piece of content information in the current content and the content resource library may have a plurality of tag information at the same time, it is difficult to accurately calculate the matching degree between the tag information of the two pieces of content information. According to the embodiment, the tag vector corresponding to the content information is obtained according to the plurality of tag information corresponding to the content information, and the matching degree between the tag information of the two contents can be more objectively quantized by calculating the vector distance between the tag vector and the tag vector.
It can be understood that, no matter the client obtains the recommended content corresponding to the current content autonomously or the client obtains the recommended content corresponding to the current content through the server, the user of the client can customize the recommended mode. If the client acquires the recommended content corresponding to the current content through the server, the client sends the customized recommended mode to the server for storage in advance, and when the server subsequently receives the content recommended request of the user, the user's customized recommended mode is adopted to acquire the recommended content and returns the recommended content, so that differentiated content recommendation to different users is realized.
As an exemplary embodiment, the setting area includes at least two areas distributed at different positions of the client, and the at least two areas respectively correspond to different recommendation modes; correspondingly, the content display method further comprises the following steps:
Determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
and acquiring the content corresponding to the current content from a content resource library by adopting a target recommendation mode corresponding to the target area, and taking the content as recommended content.
According to the embodiment, the user associates the current content with different setting areas, different recommended content corresponding to the current content can be seen through the client, the user does not need to reset the recommended mode or switch the recommended mode, and the operation efficiency is improved.
In one implementation manner, in the case that there are multiple setting areas, the client may obtain, as the recommended content, the content corresponding to the current content from the content repository according to the target recommendation mode corresponding to the target area. Specific embodiments may include: acquiring content with the matching degree of the tag information and the tag information of the current content being greater than a set threshold value from a content resource library as candidate content; and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
The target recommendation mode can also comprise at least one of a similarity recommendation mode, a popularity recommendation mode, a consumption preference recommendation mode and a social relationship recommendation mode; the specific manner in which the client screens out the set number of contents from the candidate contents in the different target recommendation modes may be referred to the description of the above embodiments.
According to the embodiment, under the condition that a plurality of setting areas exist, the client can acquire candidate contents from the content resource library based on the tag information of the current contents, only the tags are needed to be matched, the matching of the contents is not needed, and the data processing capacity of the client for acquiring the candidate contents is reduced; after the candidate content is obtained, the recommended content can be further screened out from the candidate content based on the target recommendation mode, interaction with a server is not needed in the process, and the influence of a network and the server is small.
As another implementation manner, the client may also obtain the recommended content through the server, and the corresponding process includes:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content from a content resource library according to a target recommendation mode corresponding to the target area and label information corresponding to the current content;
And receiving the recommended content returned by the server.
Specifically, the client sends a content recommendation request to the server, wherein the content recommendation request can carry an area identifier of a target area and a content identifier of the current content; the server receives the content recommendation request, acquires the content corresponding to the current content from a content resource library according to the target recommendation mode corresponding to the target area and the label information corresponding to the current content, and returns the content as recommended content to the client; and the client receives the recommended content returned by the server.
The server obtains the content corresponding to the current content from a content resource library according to the target recommendation mode corresponding to the target area and the tag information corresponding to the current content, and the specific implementation mode of the server serving as the recommended content may include: acquiring content with the matching degree of the tag information and the tag information of the current content being greater than a set threshold value from a content resource library as candidate content; and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents. The target recommendation mode and the corresponding content screening mechanism under each target recommendation mode can participate in the description of the above embodiments.
According to the embodiment, the client acquires the recommended content corresponding to the current content and the target recommended mode through the server, the client can send the identification information of the current content and the identification of the target area to the server, the content tag acquisition and the target recommended mode determination are completed at the server, and the recommended content is screened out from the content resource library based on the content tag and the target recommended mode.
As an exemplary embodiment, the content presentation method further includes: before the content image corresponding to the current content is moved to the setting area, if the end of the movement operation of the user on the content image is detected, continuing to display the current content through the content display interface.
For example, if it is detected that the user finishes the drag operation on the content image corresponding to the current content, it may be determined that the content image corresponding to the current content does not completely enter the set area at the end according to the touch point position at the end, it is determined that the current drag operation of the user is not the content recommendation operation, and the current content is continuously displayed; only when the content image corresponding to the current content is completely moved into the setting area, determining the current dragging operation of the user as the content recommending operation, and displaying the recommended content corresponding to the current content to the user, thereby preventing misoperation.
As an exemplary embodiment, the current content includes at least one of video content and audio content; the content display method further comprises the following steps: and in the process that the content image corresponding to the current content is moved, pausing playing the video content and the audio content.
In one embodiment, when detecting that the touch time of the user to the video content or the audio content has sung for a set period of time, playing the video content and the audio content can be paused, content images corresponding to the video content and the audio content are obtained, and the content images are displayed so as to feed back operation effective information to the user, so that misoperation is avoided.
Further, in one embodiment, if the current content is video content, after the playing of the video content is paused, a video frame when the playing of the video content is paused may be obtained as a content image corresponding to the video content. Specifically, as shown in fig. 3, short video content in the current content is selected and dragged by the user when the current content is played, playing of the short video content is paused, and the paused video frames are displayed as content images dragged by the user in the dragging process, as shown in the changing process of the content image 1 in fig. 3 (b) to 3 (d).
In addition, if the movement ending operation information is detected in the process that the content image corresponding to the current content is moved, the current video content or the audio content is restored to a state before pause, including restoration of a display position, a display size and a playing state, so that the video content or the audio content is continuously played from the pause position, and negative influence of corresponding operation on browsing content information of a user is reduced.
As an exemplary embodiment, presenting recommended content corresponding to the current content includes: and displaying a preset content recommendation page to a user, wherein the content recommendation page comprises the current content and the recommended content.
In the content recommendation page, the current content may be a currently corresponding content image or a preview image of the current content; the recommended content may be displayed in a grid form, and the specific grid layout may be single-column, double-column or multiple-column, including but not limited to the layouts shown in fig. 4 (a) and 4 (b).
In addition, the description information corresponding to the current content can be displayed in the content recommendation page at the same time, including but not limited to publisher information and label information, for example, as shown in fig. 4 (a) and fig. 4 (b), in this way, the relevance between the recommended content and the current content is presented to the user.
Further, the method further comprises: acquiring ordering information of the recommended content; and the sequencing information characterizes the recommendation degree of each recommended content, and the recommended content is displayed according to the sequencing information through the content recommendation page. The recommendation degree of the recommended content is related to the adopted recommendation mode, and the embodiment is specifically described.
As an implementation manner, the client may receive the recommended content and the ranking information corresponding to the recommended content, which are sent by the server; and generating the content recommendation page, wherein the recommended content in the content recommendation page is laid out in a grid form according to the ordering information. Of course, the client can also locally sort the recommended content, obtain sorting information and generate a content recommended page, and the mode provides higher requirements for the electronic equipment where the client is located.
According to the embodiment, the recommended content is displayed through the content recommendation page, and the recommended content with higher recommendation degree is displayed at the front position in the content recommendation page, so that a user can conveniently and quickly browse the recommended content most similar to the current content; meanwhile, the method can facilitate the user to close the content recommendation page so as to quickly return to the previous content display page.
In the present disclosure, returning to the previous content presentation page, and restoring the current content to a state before operation, including restoration of a display position, a display size, and a play state, so as to reduce an influence of a corresponding operation on browsing content information by a user.
As shown in fig. 6, an example of a content display method is provided, and it is assumed that the current content displayed on a content display interface of a client is a short video, where the content display interface includes two setting areas corresponding to a hotness recommendation mode and a city recommendation mode respectively; the method comprises the following steps:
500: and the user performs a dragging operation on the short video currently played through the content display page of the client.
501: the client pauses playing the short video, and obtains a current video frame as a content image; and continuously displaying the current video frame image 1 in the dragging process, and gradually reducing the display size of the current video frame image 1.
In the process of gradually reducing the display size of the current video frame image 1, the display size of the set area 2 may also be gradually enlarged. When the content display interface comprises a plurality of setting areas, the method further comprises the steps of detecting the dragging direction of the dragging operation, determining the setting area corresponding to the dragging direction, gradually amplifying the display size of the corresponding setting area, and keeping the display sizes of other setting areas unchanged in an initial state. For example, as shown in fig. 5, the display size of the setting area 2 corresponding to the dragging direction is gradually enlarged.
502: and if the user finishes the dragging operation.
503: and the client determines that the current video frame image is not dragged to any set area, and restores the playing state of the short video to the state before pause.
For example, as shown in fig. 5, when it is detected that the user finishes the drag operation and the current video frame image 1 corresponding to the short video is not dragged to any set area, the display state of the returned short video is restored to the play state of fig. 5 (a), and the short video is continuously played from the pause position, so that the negative influence on the user watching the short video is reduced.
504: if the user continues the drag operation until the current video frame image 1 corresponding to the short video is dragged to any set area, determining that the drag operation belongs to a content recommendation operation, and responding to the content recommendation operation, and sending a content recommendation request to a server.
As an example, the client determines that the content image corresponding to the short video moves from outside the setting area to inside the setting area according to the position change information of the content image corresponding to the short video, determines that the drag operation information belongs to a content recommendation operation, and sends a content recommendation request carrying a content identifier of the short video and an area identifier of the target area to the server. The target area is an area to which the content image corresponding to the short video is dragged in the plurality of setting areas. In this example, the set area 2 is a target area.
505: and the server receives the content recommendation request and acquires the content identification of the short video and the area identification of the target area from the content recommendation request.
506: the server obtains label information corresponding to the short video according to the content identifier, and obtains a target recommendation mode corresponding to the target region according to the region identifier;
the tag information corresponding to the short video may be tag information set when the short video is released by the content publisher, or the server obtains the short video according to the content identifier, and performs content identification on the short video through a content identification model trained in advance, where the obtained tag information may be specifically referred to the description of the foregoing embodiments.
507: and the server acquires other short videos corresponding to the short videos from the content resource library according to the target recommendation mode and the label information of the short video content and takes the short videos as recommended content according to the access content resource library.
In the present disclosure, the server where the content repository may be provided may be a distributed content repository provided in the cloud, and the server may access the content repository.
The server can firstly determine the matching degree of the tag information of each content in the content resource library and the tag information of the current content, and acquire the content with the matching degree larger than a set threshold value from the content resource library as a candidate content; screening a set number of contents from the candidate contents according to the target recommendation mode to obtain recommended contents; and screening recommended content from the candidate embodiments.
Taking the short video shown in fig. 5 as an example, if the tag corresponding to the current short video is obtained includes: animal, grassland, relaxation and singing, and the specific method for determining the content tag to acquire the recommended content by the server according to the content recommendation request of the client side can comprise the following steps:
matching tag information (animals, grasslands, eases and sings) corresponding to the current short video with tag information of each content in a content resource library, and determining the content with tag similarity greater than a set similarity threshold value from the content resource library as candidate content; and then screening out the content with the set quantity from the candidate content according to the target recommendation mode to obtain the recommended content.
The target recommendation mode corresponding to the setting area 2 is the same city mode, and correspondingly, the server screens out a plurality of pieces of content of which the geographic position of the publisher is in the same city from the candidate content based on the geographic position information of the current content publisher, and the plurality of pieces of content are used as recommendation content corresponding to the current short video.
508: and the server sends the recommended content to the client.
509: the client receives the recommended content returned by the server and displays a preset content recommended page to the user, wherein the content recommended page comprises a content image corresponding to the short video content and the recommended content, and the recommended content is displayed in a grid form, for example, as shown in fig. 4.
The user drags the short video currently played to the set area through the content display interface of the client, so that more recommended contents corresponding to the current short video can be seen, different recommended contents can be seen after the user drags to different set areas, the user does not need to input information such as keywords, the operation is convenient, and the efficiency of viewing short videos similar to the current short video is improved; the user can implement the drag operation on different types of short videos at different times, so that different recommended contents can be viewed. In addition, in the dragging process, the display size of the content image corresponding to the dragged short video content is gradually reduced, the display size of the set area is gradually enlarged, the operation difficulty of a user is reduced, and meanwhile misoperation can be prevented.
As an exemplary embodiment, a content presentation method implemented at a server side includes the following steps.
Responding to a content recommendation request of a client, and acquiring recommended content corresponding to the current content; the content recommendation request is a request sent by a client when receiving interactive operation implemented on a content display interface by a user and triggering the current content displayed on the content display interface to be associated to a set area of the content display interface by the interactive operation;
And sending the recommended content to the client so as to display the recommended content on the client.
The operation performed by the user on the current content displayed on the client may be described with reference to the above embodiments.
According to the embodiment, the user can trigger the client to send the content recommendation request to the server by means of the operation of associating the current content with the set area through the client, and then the server obtains the recommended content corresponding to the current content and returns the recommended content to the client, so that the user does not need to input information such as keywords, operation is convenient, and efficiency of viewing short videos similar to the current short video is improved.
As an exemplary embodiment, the user performing the interactive operation on the content presentation interface includes an operation of moving a content image corresponding to the current content; and triggering the current content displayed by the content display interface to be associated with the setting area of the content display interface comprises triggering the content image corresponding to the current content to move to the setting area of the content display interface.
According to the embodiment, a user performs a moving or dragging operation on a content display interface aiming at the currently displayed content, and a content image corresponding to the currently displayed content is moved to a set area, so that a content recommendation function of a client is triggered, and compared with a traditional mode that the user inputs information such as keywords and pictures to search for the content, the user is convenient to operate; and visual operation feedback can be provided for the user by moving the content image corresponding to the current content, so that misoperation of the user is prevented.
As an exemplary embodiment, the obtaining, in response to a content recommendation request of a client, recommended content corresponding to current content includes:
acquiring label information corresponding to the current content; acquiring content corresponding to the current content from a content resource library according to the tag information, and taking the content as recommended content;
the server can acquire the content identifier of the current content from the content recommendation request, and acquire tag information corresponding to the current content according to the content identifier; the tag information of the current content may be tag information set when the content publisher publishes the current content, or tag information obtained by obtaining the current content according to the content identifier by the server and performing content analysis on the current content.
According to the embodiment, the recommended content similar to the current content in style or tone can be obtained from the content resource library based on the label information of the current content, and the recommended content is determined by comparing the label information of different contents.
As an exemplary embodiment, the server may acquire, from the content repository, a content having a matching degree of tag information with tag information of the current content greater than a set threshold value as a candidate content; and then screening a set number of contents from the candidate contents by adopting any preset recommendation mode to obtain the recommended contents, for example:
Acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content. The number of recommended content screened out by various modes can be the same or different.
According to the embodiment, when the server acquires the recommended content corresponding to the current content, the server can acquire candidate content similar to the current content according to the label information of the current content; the candidate content can be further screened by further referring to the content heat, the user consumption preference, the user social relationship and other factors, so that different recommended content corresponding to the current content can be recommended to the user.
As an exemplary embodiment, the setting area includes at least two areas distributed at different positions of the client, and the at least two areas respectively correspond to different recommendation modes; the acquiring the recommended content corresponding to the current content comprises the following steps:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring label information corresponding to the current content, and acquiring a target recommendation mode corresponding to a target area;
and acquiring the content corresponding to the current content from a content resource library according to the target recommendation mode and the tag information, and taking the content as recommended content.
The content recommendation request can carry a content identifier of the current content and an area identifier corresponding to the target area; as an exemplary embodiment, the server, in response to a content recommendation request of a client, obtains a specific implementation of recommended content corresponding to current content, including:
Acquiring the content identifier and the region identifier of a target region from the content recommendation request, acquiring tag information corresponding to the current content according to the content identifier, and acquiring a target recommendation mode corresponding to the target region according to the region identifier; and acquiring the content corresponding to the current content from a content resource library according to the target recommendation mode and the tag information, and taking the content as recommended content.
According to the embodiment, the user can browse different recommended contents corresponding to the current contents through the client by associating the current contents to different areas, so that the requirement of user diversity can be met, and meanwhile, the user does not need to reset the recommended mode or switch the recommended mode, and the operation efficiency is improved.
The server obtains the content corresponding to the current content from a content resource library according to the target recommendation mode and the tag information, and the specific implementation mode of the recommended content can include:
acquiring content with the matching degree of the tag information and the tag information of the current content being greater than a set threshold value from a content resource library as candidate content; the content in the content resource library is respectively corresponding to tag information;
And screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
According to the embodiment, the server can acquire candidate contents from the content resource library based on the label information of the current contents operated by the user, and only the label is needed to be matched, so that the matching of the contents is not needed, and the data processing capacity is reduced; after the candidate content is obtained, the recommended content can be further screened from the candidate content based on the recommended mode corresponding to the setting area to which the current content is associated, and the user can see different recommended contents corresponding to the current content by associating the current content to different setting areas without the need of the user to conduct recommended mode switching operation, so that the operation is convenient.
In the present disclosure, the target recommendation mode may be at least one of a similarity recommendation mode, a popularity recommendation mode, a consumption preference recommendation mode, and a social relationship recommendation mode; the server may obtain the specific implementation manner of the recommended content by screening a set number of contents from the candidate contents according to the target recommendation mode, and may obtain the description of the recommended content portion by referring to the foregoing screening a set number of contents from the candidate contents according to a preset recommendation mode.
As an exemplary embodiment, the server may input the current content into a pre-trained content classification model, and obtain tag information corresponding to the current content according to an output result of the content classification model; the content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
The label information corresponding to the current content is obtained through the pre-trained content classification model, so that more objective label information can be obtained, and the problem that the obtained recommended content is not the content corresponding to the current content due to inaccurate label information set by a content publisher can be avoided to a certain extent.
As an exemplary embodiment, the tag information corresponding to each content in the content resource library is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag. Correspondingly, the determining, by the server, the matching degree between the tag information of each content in the content resource library and the tag information of the current content may include:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
Since each piece of content information in the current content and the content resource library may have a plurality of tag information at the same time, it is difficult to accurately calculate the matching degree between the tag information of the two pieces of content information. According to the embodiment, the tag vector corresponding to the content information is obtained according to the plurality of tag information corresponding to the content information, and the matching degree between the tag information of the two contents can be more objectively quantized by calculating the vector distance between the tag vector and the tag vector.
As an exemplary embodiment, the steps performed by the server further include: acquiring ordering information of the recommended content, wherein the ordering information characterizes the recommendation degree of each recommended content; the recommendation level is related to the recommendation mode adopted, and is specifically described with reference to the above embodiment. And sending the recommended content and the ordering information to the client so as to display the recommended content according to the ordering information at the client.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps of the flowcharts described above may include a plurality of steps or stages that are not necessarily performed at the same time, but may be performed at different times, and the order of execution of the steps or stages is not necessarily sequential, but may be performed in rotation or alternately with at least a portion of the steps or stages of other steps or other steps.
Fig. 7 is a block diagram of a content presentation device 600, according to an exemplary embodiment, applicable to a client, and referring to fig. 7, the device 600 includes:
an operation acquisition unit 601 configured to perform an interactive operation performed on the content presentation interface by the receiving user;
an operation determination unit 602 configured to perform detection that the interactive operation triggers the current content displayed by the content display interface to be associated to a set area of the content display interface, and determine that the interactive operation is a content recommendation operation;
and a recommending unit 603 configured to perform a recommending operation in response to the content, acquire recommended content corresponding to the current content, and display.
As an exemplary embodiment, the interactive operation includes an operation of moving a content image corresponding to the current content;
the operation judging unit is configured to execute detection that the interaction operation triggers the content image corresponding to the current content to move to the setting area of the content display interface, and determine that the interaction operation is a content recommending operation.
As an exemplary embodiment, the apparatus 600 further includes:
a content image acquisition unit configured to perform an operation of responding to a user to select a current content displayed on the content display interface, acquire a current content image of the current content when the operation is received, or acquire a cover image corresponding to the current content, and take the current content image or the cover image as a content image corresponding to the current content.
As an exemplary embodiment, the apparatus 600 further includes:
and a content display adjustment unit configured to perform downsizing of a display size of a content image corresponding to the current content in a process in which the content image is moved.
As an exemplary embodiment, the content display adjustment unit is further configured to perform:
acquiring the moving distance of the content image in the process that the content image corresponding to the current content is moved;
and reducing the display size of the content image according to the moving distance, wherein the reduced display size of the content image and the moving distance form an inverse correlation.
As an exemplary embodiment, the apparatus 600 further includes:
and an area display adjustment unit configured to perform enlargement of a display size of the set area in a process in which the content image corresponding to the current content is moved.
As an exemplary embodiment, the area display adjusting unit is further configured to perform:
acquiring the interval distance between the content image and the set area in the process that the content image corresponding to the current content is moved;
and amplifying the display size of the set area according to the interval distance, wherein the amplified display size of the set area and the interval distance form an inverse correlation.
As an exemplary embodiment, the content display adjustment unit is further configured to perform:
when the content image corresponding to the current content is moved into the setting area, the display size of the content image is smaller than or equal to the display size of the setting area.
As an exemplary embodiment, the recommendation unit is further configured to perform:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as the recommended content.
As an exemplary embodiment, the recommendation unit is further configured to perform:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content;
and receiving the recommended content returned by the server.
As an exemplary embodiment, the recommendation unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
Selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
As an exemplary embodiment, the setting area includes at least two areas distributed at different positions on the content display interface, where the at least two areas respectively correspond to different recommendation modes;
the recommendation unit is further configured to perform:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring tag information corresponding to the current content, and acquiring recommended content corresponding to the current content from a content resource library according to the tag information corresponding to the current content and a target recommended mode corresponding to the target area.
As an exemplary embodiment, the recommendation unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
As an exemplary embodiment, the recommendation unit is further configured to perform:
Sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content from a content resource library according to a target recommendation mode corresponding to the target area and label information corresponding to the current content;
and receiving the recommended content returned by the server.
As an exemplary embodiment, the recommendation unit includes a tag determination module configured to perform:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
the content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
As an exemplary embodiment, the tag information corresponding to each content in the content resource library is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
the recommendation unit is further configured to perform:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
As an exemplary embodiment, the recommendation unit is further configured to perform:
acquiring ordering information of the recommended content; the ranking information characterizes the recommendation degree of each recommended content;
displaying a preset content recommendation page on the content display interface, wherein the content recommendation page comprises the current content and the recommended content, and the recommended content is displayed according to the sorting information.
Fig. 8 is a block diagram illustrating a content presentation device 700 for application to a server according to an exemplary embodiment. Referring to fig. 8, an apparatus 700 includes:
a content acquisition unit 701 configured to perform acquisition of recommended content corresponding to the current content in response to a content recommendation request of the client; the content recommendation request is a request sent by a client when receiving interactive operation implemented on a content display interface by a user and triggering the current content displayed on the content display interface to be associated to a set area of the content display interface by the interactive operation;
and a content transmitting unit 702 configured to perform transmission of the recommended content to the client to display the recommended content at the client.
As an exemplary embodiment, the user performing the interactive operation on the content presentation interface includes an operation of moving a content image corresponding to the current content; the triggering of the current content displayed by the content display interface to be associated with the setting area of the content display interface comprises triggering a content image corresponding to the current content to move to the setting area of the content display interface;
the content acquisition unit is further configured to perform:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as recommended content.
As an exemplary embodiment, the content acquisition unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
Acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
As an exemplary embodiment, the setting area includes at least two areas distributed at different positions on the client content display interface, where the at least two areas respectively correspond to different recommendation modes;
The content acquisition unit is further configured to perform:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring label information corresponding to the current content, and acquiring a target recommendation mode corresponding to a target area;
and acquiring the content corresponding to the current content from a content resource library according to the target recommendation mode and the tag information, and taking the content as recommended content.
As an exemplary embodiment, the content acquisition unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
As an exemplary embodiment, the content acquisition unit includes a tag determination module configured to perform:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
The content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
As an exemplary embodiment, the tag information corresponding to each content in the content resource library is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
the content acquisition unit is further configured to perform: and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 9 is a block diagram illustrating an apparatus 800 for data processing according to an example embodiment. For example, device 800 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.
Referring to fig. 9, device 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communication component 816.
The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the device 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, video, and the like. The memory 804 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read Only Memory (EEPROM), erasable Programmable Read Only Memory (EPROM), programmable Read Only Memory (PROM), read Only Memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 806 provides power to the various components of the device 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 800.
The multimedia component 808 includes a screen between the device 800 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 further includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of the device 800. For example, the sensor assembly 814 may detect an on/off state of the device 800, a relative positioning of the components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, an orientation or acceleration/deceleration of the device 800, and a change in temperature of the device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communication between the device 800 and other devices, either wired or wireless. The device 800 may access a wireless network based on a communication standard, such as WiFi, an operator network, or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field programmable gate arrays (FP 7A), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 804 including instructions executable by processor 820 of device 800 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
Fig. 10 is a block diagram illustrating an apparatus 900 for data processing according to an example embodiment. For example, device 900 may be a server. Referring to fig. 10, device 900 includes a processing component 920 that further includes one or more processors, and memory resources represented by memory 922, for storing instructions, such as applications, executable by processing component 920. The application programs stored in memory 922 may include one or more modules each corresponding to a set of instructions. Further, the processing component 920 is configured to execute instructions to perform the methods described above.
The device 900 may also include a power supply component 924 configured to perform power management of the device 900, a wired or wireless network interface 926 configured to connect the device 900 to a network, and an input output (I/O) interface 928. The device 900 may operate based on an operating system stored in memory 922, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.
In an exemplary embodiment, a storage medium is also provided, such as memory 922 including instructions executable by a processor of device 900 to perform the above-described method. The storage medium may be a non-transitory computer readable storage medium, which may be, for example, ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (53)
1. A method of content presentation, the method comprising:
receiving interactive operation implemented on a content display interface by a user;
if the interaction operation is detected to comprise an operation of moving a content image corresponding to the current content currently displayed on the content display interface, and the operation triggers the content image corresponding to the current content to move to a set area of the content display interface, determining the interaction operation as a content recommendation operation;
And responding to the content recommending operation, acquiring and displaying recommended content corresponding to the current content.
2. The method of claim 1, wherein the content presentation interface is configured to present content information, the current content comprising one or more of the currently presented content information.
3. The method as recited in claim 1, further comprising:
responding to the operation of selecting the current content displayed on the content display interface by a user, acquiring a current content image of the current content when the operation is received, or acquiring a cover image corresponding to the current content, and taking the current content image or the cover image as a content image corresponding to the current content.
4. The method according to claim 1, wherein the method further comprises:
and reducing the display size of the content image in the process that the content image corresponding to the current content is moved.
5. The method of claim 4, wherein the reducing the display size of the content image comprises:
acquiring the moving distance of the content image in the process that the content image corresponding to the current content is moved;
And reducing the display size of the content image according to the moving distance, wherein the reduced display size of the content image and the moving distance form an inverse correlation.
6. The method according to claim 4, wherein the method further comprises:
and amplifying the display size of the setting area in the process that the content image corresponding to the current content is moved.
7. The method of claim 6, wherein the enlarging the display size of the set area comprises:
acquiring the interval distance between the content image and the set area in the process that the content image corresponding to the current content is moved;
and amplifying the display size of the set area according to the interval distance, wherein the amplified display size of the set area and the interval distance form an inverse correlation.
8. The method according to any one of claims 4 to 7, further comprising:
when the content image corresponding to the current content is moved into the setting area, the display size of the content image is smaller than or equal to the display size of the setting area.
9. The method of claim 1, wherein the obtaining recommended content corresponding to the current content comprises:
Acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as the recommended content.
10. The method according to claim 9, wherein the method further comprises:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content;
and receiving the recommended content returned by the server.
11. The method of claim 9, wherein the obtaining content corresponding to the current content from a content repository according to the tag information as the recommended content comprises:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
Acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
12. The method of claim 1, wherein the set area includes at least two areas distributed at different positions on the content presentation interface, the at least two areas corresponding to different recommendation modes, respectively;
The method further comprises the steps of:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring tag information corresponding to the current content, and acquiring recommended content corresponding to the current content from a content resource library according to the tag information corresponding to the current content and a target recommended mode corresponding to the target area.
13. The method of claim 12, wherein the obtaining recommended content corresponding to the current content from a content repository according to the tag information corresponding to the current content and the target recommendation pattern corresponding to the target area comprises:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
14. The method according to claim 12, wherein the obtaining, as recommended content, content corresponding to the current content from a content resource library according to tag information corresponding to the current content and a target recommendation pattern corresponding to the target area, includes:
Sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content from a content resource library according to a target recommendation mode corresponding to the target area and label information corresponding to the current content;
and receiving the recommended content returned by the server.
15. The method according to claim 9 or 12, wherein the obtaining tag information corresponding to the current content includes:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
the content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
16. The method according to claim 11 or 13, wherein the tag information corresponding to each content in the content resource library is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
the determining the matching degree of the tag information of each content in the content resource library and the tag information of the current content comprises the following steps:
And obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
17. The method as recited in claim 1, further comprising:
acquiring ordering information of the recommended content; the ranking information characterizes the recommendation degree of each recommended content;
displaying a preset content recommendation page on the content display interface, wherein the content recommendation page comprises the current content and the recommended content, and the recommended content is displayed according to the sorting information.
18. A method of content presentation, the method comprising:
responding to a content recommendation request, and acquiring recommended content corresponding to the current content; the content recommendation request is an operation of receiving an interactive operation implemented on a content display interface by a user for a client, wherein the interactive operation comprises an operation of moving a content image corresponding to current content currently displayed on the content display interface, and the operation triggers a request sent when the content image corresponding to the current content moves to a setting area of the content display interface;
And sending the recommended content to the client so as to display the recommended content on the client.
19. The method of claim 18, wherein the obtaining recommended content corresponding to the current content in response to the content recommendation request of the client comprises:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as recommended content.
20. The method of claim 19, wherein the obtaining content corresponding to the current content from a content repository as recommended content according to the tag information comprises:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
Acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
21. The method of claim 18, wherein the set area includes at least two areas distributed at different positions on the client content presentation interface, the at least two areas corresponding to different recommendation modes, respectively;
the acquiring the recommended content corresponding to the current content comprises the following steps:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
Acquiring label information corresponding to the current content, and acquiring a target recommendation mode corresponding to a target area;
and acquiring the content corresponding to the current content from a content resource library according to the target recommendation mode and the tag information, and taking the content as recommended content.
22. The method of claim 21, wherein obtaining content corresponding to the current content from a content repository as recommended content according to the target recommendation mode and the tag information, comprising:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
23. The method according to claim 19 or 21, wherein the obtaining tag information corresponding to the current content includes:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
The content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
24. The method according to claim 20 or 22, wherein the tag information corresponding to each content in the content repository is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
the determining the matching degree of the tag information of each content in the content resource library and the tag information of the current content comprises the following steps:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
25. A content presentation device, comprising:
an operation acquisition unit configured to perform an interactive operation performed on the content presentation interface by the receiving user;
an operation determination unit configured to determine that the interactive operation is a content recommendation operation if the interactive operation is detected to include an operation of moving a content image corresponding to a current content currently displayed on the content display interface, and the operation triggers the content image corresponding to the current content to move to a set area of the content display interface;
And the recommending unit is configured to execute the recommending operation responding to the content, acquire the recommended content corresponding to the current content and display the recommended content.
26. The apparatus of claim 25, wherein the content presentation interface is to present content information, the current content comprising one or more of the currently presented content information.
27. The apparatus as recited in claim 25, further comprising:
a content image acquisition unit configured to perform an operation of responding to a user to select a current content displayed on the content display interface, acquire a current content image of the current content when the operation is received, or acquire a cover image corresponding to the current content, and take the current content image or the cover image as a content image corresponding to the current content.
28. The apparatus as recited in claim 25, further comprising:
and a content display adjustment unit configured to perform downsizing of a display size of a content image corresponding to the current content in a process in which the content image is moved.
29. The apparatus of claim 28, wherein the content display adjustment unit is further configured to perform:
Acquiring the moving distance of the content image in the process that the content image corresponding to the current content is moved;
and reducing the display size of the content image according to the moving distance, wherein the reduced display size of the content image and the moving distance form an inverse correlation.
30. The apparatus as recited in claim 28, further comprising:
and an area display adjustment unit configured to perform enlargement of a display size of the set area in a process in which the content image corresponding to the current content is moved.
31. The apparatus of claim 30, wherein the region display adjustment unit is further configured to perform:
acquiring the interval distance between the content image and the set area in the process that the content image corresponding to the current content is moved;
and amplifying the display size of the set area according to the interval distance, wherein the amplified display size of the set area and the interval distance form an inverse correlation.
32. The apparatus according to any one of claims 28 to 31, wherein the content display adjustment unit is further configured to perform:
When the content image corresponding to the current content is moved into the setting area, the display size of the content image is smaller than or equal to the display size of the setting area.
33. The apparatus of claim 25, wherein the recommendation unit is further configured to perform:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as the recommended content.
34. The apparatus of claim 33, wherein the recommendation unit is further configured to perform:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content;
and receiving the recommended content returned by the server.
35. The apparatus of claim 33, wherein the recommendation unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
Selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
36. The apparatus of claim 25, wherein the set area comprises at least two areas distributed at different positions on the content presentation interface, the at least two areas corresponding to different recommended modes, respectively;
the recommendation unit is further configured to perform:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
acquiring tag information corresponding to the current content, and acquiring recommended content corresponding to the current content from a content resource library according to the tag information corresponding to the current content and a target recommended mode corresponding to the target area.
37. The apparatus of claim 36, wherein the recommending unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
38. The apparatus of claim 36, wherein the recommending unit is further configured to perform:
sending a content recommendation request to a server; the content recommendation request is used for triggering the server to acquire recommended content corresponding to the current content from a content resource library according to a target recommendation mode corresponding to the target area and label information corresponding to the current content;
and receiving the recommended content returned by the server.
39. The apparatus of claim 33 or 36, wherein the recommendation unit includes a tag determination module configured to perform:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
the content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
40. The apparatus according to claim 35 or 37, wherein the tag information corresponding to each content in the content repository is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
The recommendation unit is further configured to perform:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
41. The apparatus of claim 25, wherein the recommendation unit is further configured to perform:
acquiring ordering information of the recommended content; the ranking information characterizes the recommendation degree of each recommended content;
displaying a preset content recommendation page on the content display interface, wherein the content recommendation page comprises the current content and the recommended content, and the recommended content is displayed according to the sorting information.
42. A content presentation device, comprising:
a content acquisition unit configured to perform acquisition of recommended content corresponding to the current content in response to the content recommendation request; the content recommendation request is an operation of receiving an interactive operation implemented on a content display interface by a user for a client, wherein the interactive operation comprises an operation of moving a content image corresponding to current content currently displayed on the content display interface, and the operation triggers a request sent when the content image corresponding to the current content moves to a setting area of the content display interface;
And the content sending unit is configured to send the recommended content to the client so as to display the recommended content on the client.
43. The apparatus of claim 42, wherein the content acquisition unit is further configured to perform:
acquiring label information corresponding to the current content;
and acquiring the content corresponding to the current content from a content resource library according to the tag information, and taking the content as recommended content.
44. The apparatus of claim 43, wherein the content acquisition unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
selecting the recommended content from the candidate content in at least one of the following ways:
acquiring the set number of contents with the front matching degree sequence from the candidate contents to obtain the recommended contents;
acquiring content heat corresponding to each candidate content, and screening out a set number of contents with the content heat ranked at the front from the candidate content to obtain the recommended content; the content popularity of the candidate content and the consumed frequency of the candidate content form a positive correlation relation;
Acquiring consumption preference labels corresponding to the users, determining the matching degree between label information corresponding to each candidate content and the consumption preference labels, and taking the matching degree as the preference matching degree corresponding to each candidate content, and screening out the content with the set quantity of the preference matching degree ranked at the front from the candidate content to obtain the recommended content; the consumption preference label of the user is determined according to the historical content consumption information of the user;
obtaining a publisher account corresponding to each candidate content and social relation information between the publisher account and an account corresponding to the user, and screening out the content with a preset number of preset social relations between the publisher account and the account corresponding to the user from the candidate content according to the social relation information to obtain the recommended content.
45. The apparatus of claim 42, wherein the set area includes at least two areas distributed at different positions on the client content presentation interface, the at least two areas corresponding to different recommendation modes, respectively;
the content acquisition unit is further configured to perform:
determining a target area; the target area is an area to which the current content is associated, and the target area is one of the at least two areas;
Acquiring label information corresponding to the current content, and acquiring a target recommendation mode corresponding to a target area;
and acquiring the content corresponding to the current content from a content resource library according to the target recommendation mode and the tag information, and taking the content as recommended content.
46. The apparatus of claim 45, wherein the content acquisition unit is further configured to perform:
determining the matching degree of the tag information of each content in a content resource library and the tag information of the current content, and acquiring the content with the matching degree larger than a set threshold value from the content resource library as a candidate content;
and screening a set number of contents from the candidate contents according to the target recommendation mode to obtain the recommended contents.
47. The apparatus according to claim 43 or 45, wherein the content acquisition unit includes a tag determination module configured to perform:
inputting the current content into a pre-trained content classification model, and obtaining label information corresponding to the current content according to an output result of the content classification model;
the content classification model is obtained based on training of the content sample and the corresponding classification label thereof, and is used for identifying at least one classification label corresponding to the input content.
48. The apparatus of claim 44 or 46, wherein the tag information corresponding to each content in the content repository is a tag vector including at least one classification tag, and the tag information of the current content is a tag vector including at least one classification tag;
the content acquisition unit is further configured to perform:
and obtaining the vector distance between the tag vector corresponding to the current content and the tag vector corresponding to each content in the content resource library, and obtaining the matching degree of the tag information of each content in the content resource library and the tag information of the current content according to the vector distance.
49. A terminal, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the content presentation method of any one of claims 1 to 17.
50. A server, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the content presentation method of any one of claims 18 to 24.
51. A content presentation system comprising a terminal according to claim 49 and a server according to claim 50.
52. A storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the content presentation method of any one of claims 1 to 17.
53. A storage medium, which when executed by a processor of a server, enables the server to perform the content presentation method of any one of claims 18 to 24.
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