CN111107439B - Content distribution method, content distribution device, server and storage medium - Google Patents
Content distribution method, content distribution device, server and storage medium Download PDFInfo
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- CN111107439B CN111107439B CN201911205969.1A CN201911205969A CN111107439B CN 111107439 B CN111107439 B CN 111107439B CN 201911205969 A CN201911205969 A CN 201911205969A CN 111107439 B CN111107439 B CN 111107439B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/485—End-user interface for client configuration
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/488—Data services, e.g. news ticker
- H04N21/4882—Data services, e.g. news ticker for displaying messages, e.g. warnings, reminders
Abstract
The present disclosure relates to a content distribution method, apparatus, server, and storage medium, the method comprising: acquiring content to be judged, and determining a user group corresponding to the content to be judged; selecting users meeting a first preset condition from the user group as review users; sending the review information of the content to be judged to the user terminal of the review user, and acquiring the review result of the review user; and determining the distribution result of the content to be judged to the user group according to the evaluation result. When the content to be judged is found, the opinions of the users can be timely acquired, the distribution result of the content to be judged is distributed to all users in the user group where the minority users are located is determined according to the opinions of the minority users, the timeliness of the content distribution processing is improved, and the accuracy of the content distribution can be further improved.
Description
Technical Field
The present disclosure relates to internet technologies, and in particular, to a content distribution method, apparatus, server, and storage medium.
Background
In the related art, content distribution mainly depends on positive feedback (such as clicking, praise, comment and the like) of a user to distribute favorite content of the user, and depends on negative feedback of the user to reduce distribution of corresponding works.
In the related art, where negative feedback is content-based, content quality can be collected in three ways: reporting by a user; identification of content by streaming media technology; and (6) auditing by an auditor. The user initiatively reports behaviors, which are generally performed when the user is disappointed with the content, the behavior amount is small, and the corresponding content is processed when enough behaviors are collected. The streaming media identification has certain errors, and the corresponding content is processed only when a certain playing amount is reached. The manual review has a certain delay. In summary, the related art has a certain hysteresis for the distribution process of the content.
Disclosure of Invention
The present disclosure provides a content distribution method, apparatus, server, and storage medium to at least solve the problem of a lag in distribution processing of content in the related art. The technical scheme of the disclosure is as follows:
according to a first aspect of embodiments of the present disclosure, there is provided a content distribution method including:
acquiring content to be judged, and determining a user group corresponding to the content to be judged;
selecting users meeting a first preset condition from the user group as review users;
sending the review information of the content to be judged to the user terminal of the review user, and acquiring the review result of the review user;
and determining the distribution result of the content to be judged to the user group according to the evaluation result.
Optionally, the issuing of the review information of the content to be determined to the review user includes:
and when the user terminal displays the content to be judged, issuing a review bomb layer of the content to be judged to the user terminal, and displaying the review information on the review bomb layer.
Optionally, the first preset condition includes: and users with a first preset proportion in the current online users or users occupying a second preset proportion in the user group.
Optionally, the selecting, as a review user, a user meeting a first preset condition from the user group includes:
determining a current online user in the user population;
and selecting users with a first preset proportion from the current online users as review users.
Optionally, the selecting, as a review user, a user meeting a first preset condition from the user group includes:
determining a total number of the user population;
determining the number of the review users according to the total number and a second preset proportion;
and selecting the users with the number of the evaluation users from the user group as the evaluation users, or selecting the users with the number of the evaluation users from the current time as the evaluation users according to the online time of the users in the user group.
Optionally, the content to be determined is video content;
the acquiring the content to be determined includes:
and performing streaming media identification on the video content, and determining the video content meeting a second preset condition as the content to be judged.
Optionally, the second preset condition includes: the similarity between the video content and preset sensitive content is smaller than a first similarity threshold and larger than a second similarity threshold, and the first similarity threshold is larger than the second similarity threshold; or the video content comprises preset video content.
Optionally, the obtaining of the content to be determined includes:
and taking the content received by the negative feedback of the user as the content to be judged.
Optionally, the determining, according to the review result, a distribution result of the content to be determined to the user group includes:
determining the number of the review users with the negative review result, and determining the total number of the review users;
and if the ratio of the number to the total number is greater than or equal to a third preset ratio, determining that the distribution result of the content to be judged to the user group is the stop of distribution.
According to a second aspect of the embodiments of the present disclosure, there is provided a content distribution apparatus including:
the judgment information determining module is configured to acquire content to be judged and determine a user group corresponding to the content to be judged;
the system comprises a review user determining module, a review user determining module and a review user selecting module, wherein the review user determining module is configured to select users meeting a first preset condition from the user group as review users;
the review module is configured to issue review information of the content to be judged to the user terminal of the review user and acquire a review result of the review user;
and the distribution processing module is configured to determine a distribution result of the content to be judged to the user group according to the evaluation result.
Optionally, the review module includes:
and the review information issuing unit is configured to issue a review bomb layer of the content to be judged to the user terminal and display the review information on the review bomb layer when the user terminal displays the content to be judged.
Optionally, the first preset condition includes: and users with a first preset proportion in the current online users or users occupying a second preset proportion in the user group.
Optionally, the review user determination module includes:
an online user determination unit configured to determine a current online user in the user group;
and the first review user selection unit is configured to select users with a first preset proportion from the current online users as review users.
Optionally, the review user determination module includes:
a total number determination unit configured to determine a total number of the user population;
the first review user number determining unit is configured to determine the number of review users according to the total number and a second preset proportion;
and the second review user selecting unit is configured to select the users with the number of the review users from the user group as the review users, or select the users with the number of the review users from the current time as the review users according to the online time of the users in the user group.
Optionally, the content to be determined is video content;
the judgment information determination module includes:
and the first content to be judged determining unit is configured to perform streaming media identification on the video content and determine the video content meeting a second preset condition as the content to be judged.
Optionally, the second preset condition includes: the similarity between the video content and preset sensitive content is smaller than a first similarity threshold and larger than a second similarity threshold, and the first similarity threshold is larger than the second similarity threshold; or the video content comprises preset video content.
Optionally, the determination information determining module includes:
a second to-be-determined content determination unit configured to take the content received negative feedback from the user as the to-be-determined content.
Optionally, the distribution processing module includes:
the second review user number determining unit is configured to determine the number of review users of which the review result is a negative result, and determine the total number of the review users;
and the distribution processing unit is configured to determine that the distribution result of the content to be determined to the user group is stop distribution if the ratio of the number to the total number is greater than or equal to a third preset ratio.
According to a third aspect of the embodiments of the present disclosure, there is provided a server, including:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the content distribution method according to the first aspect.
According to a fourth aspect of embodiments of the present disclosure, there is provided a storage medium having instructions that, when executed by a processor of a server, enable the server to perform the content distribution method according to the first aspect.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product comprising readable program code which, when executed by a processor of a server, enables the server to perform the video recommendation method according to the first aspect.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
according to the method and the device for processing the content to be judged, the content to be judged is obtained, the user group corresponding to the content to be judged is determined, the user meeting the first preset condition is selected from the user group to serve as the review user, the review information of the content to be judged is sent to the review user, the review result of the review user is obtained, and the distribution result of the content to be judged to the user group is determined according to the review result.
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 present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
FIG. 1 is a flow diagram illustrating a method of content distribution in accordance with an exemplary embodiment;
FIG. 2 is an exemplary diagram of a display interface displaying review information via a review bomb layer in an embodiment of the disclosure;
FIG. 3 is a block diagram illustrating a content distribution apparatus according to an example embodiment;
fig. 4 is a block diagram illustrating a server according to an example embodiment.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in 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 above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating a content distribution method according to an exemplary embodiment, where the content distribution method is used in a server as illustrated in fig. 1, and includes the following steps.
In step S11, the content to be determined is acquired, and the user group corresponding to the content to be determined is determined.
The content to be determined may be video content or message content, and the message content may be, for example, a news message. The user group corresponding to the content to be determined is a set of users having a negative and/or opposite relationship with the content to be determined, for example, a set of users who dislike the content to be determined and have similar preferences with the user, or a set of users in a region other than the region where the content to be determined includes a dialect of the region.
And determining that the content with the potential low quality exists through the identification of the content, taking the content with the potential low quality as the content to be judged, and carrying out subsequent evaluation of the evaluation user. When the content with general potential low quality is determined to be the content to be judged through identification, all users can be used as a user group corresponding to the content to be judged; when the content to be judged is determined to be the content with the potential low quality aiming at some users through identification, the users with similar characteristics with the users are taken as the user group corresponding to the content to be judged.
The content of which the user negative feedback information is received can also be taken as the content to be judged. At this time, the user having the same or similar characteristics as the user is set as the user group corresponding to the content to be determined.
In step S12, a user satisfying a first preset condition is selected from the user group as a review user.
And the evaluation user is a user who carries out evaluation voting on the content to be judged. The first preset condition includes: and users with a first preset proportion in the current online users or users occupying a second preset proportion in the user group.
And selecting a small part of users from the user group as review users. When the review user is specifically selected, a user meeting a first preset condition in the user group can be selected as the review user, for example, a user with a first preset proportion is selected from the current online users as the review user; or, the total number of users in the user group may be determined first, the number of users occupying a second preset proportion of the total number is taken as the number of review users, and the users of the number of review users are randomly extracted from the user group as the review users, or when it is determined according to the time sequence of user online in the user group that the users who are online first reach the number of review users, the users who are online first are taken as the review users, and of course, other review user selection modes are provided, which are not limited here.
In step S13, the review information of the content to be determined is issued to the user terminal of the review user, and the review result of the review user is obtained.
The review information is information that the user needs to review the content to be judged, and can receive the review opinion of the content to be judged based on the review information, and the review information can obtain the review opinion of the user by giving specific options.
After determining the review user of the content to be judged, the server acquires the review information corresponding to the content to be judged, sends the review information to the user terminal of the review user, displays the review information by the user terminal, receives the review result of the user based on the review information by the user terminal, and returns the review result to the server, so that the server can acquire the review result of the review user. The user terminal displays the review information, optionally displays the review information in a message form, or pops up the review information when the review user uses the application program corresponding to the content to be determined, and of course, can also display the review information in other ways.
In step S14, according to the review result, a distribution result of the content to be determined to the user group is determined.
When the review information obtains the review opinions of the users in the form of options, the review result is a specific option given by the review user, for example, when the review information includes two options, the review result is one of the two options.
If the number of the review users supporting the content to be judged in the review results given by the review users is large, the distribution result of the content to be judged to the user group can be determined as that the content to be judged can be continuously distributed to the user group; if the number of users who object to the content to be judged in the review results given by the review users is large, the distribution result of the content to be judged to the user group can be determined as stopping the distribution to the user group. The opinions of the content to be judged of a small number of the review users are used for the user group where the review users are located, and the effect of collecting the opinions of a small number of the users to be used for the users with the same or similar characteristics is achieved.
According to the content distribution method disclosed by the exemplary embodiment, the content to be judged is obtained, the user group corresponding to the content to be judged is determined, the user meeting the first preset condition is selected from the user group to serve as the review user, the review information of the content to be judged is sent to the review user, the review result of the review user is obtained, and the distribution result of the content to be judged to the user group is determined according to the review result, so that when the content to be judged is found, the opinions of the user can be obtained in time, the distribution result of the content to be judged is distributed to all users in the user group where a small number of users are located is determined according to the opinions of the small number of users, the timeliness of the processing of the distributed content is improved, and the accuracy of the content distribution can be improved.
On the basis of the above technical solution, the issuing of the review information of the content to be determined to the review user optionally includes:
and when the user terminal displays the content to be judged, issuing a review bomb layer of the content to be judged to the user terminal, and displaying the review information on the review bomb layer.
When the review user reviews the content to be judged through the user terminal, namely the user terminal displays the content to be judged, the review bomb layer is issued to the user terminal, the user terminal displays the review bomb layer on the content to be judged, the review information is displayed on the review bomb layer, an interface for receiving the review result is provided, and therefore the review result of the user on the content to be judged can be collected through the review information displayed on the review bomb layer. Fig. 2 is an exemplary diagram of a display interface for displaying review information through a review bomb layer in the embodiment of the disclosure, as shown in fig. 2, the review information may give two options to collect opinions of the review user, and the review bomb layer 1 may be located below the display interface, so that the content of the user to be determined is not affected, and of course, the review bomb layer may also be located at other positions, such as an intermediate position, of the display interface. The review result of the user is collected through the review bullet layer, so that the user can conveniently and timely give corresponding opinions after reviewing the content to be judged, and the review of the content to be judged by the user is not hindered. When the review result of the user is collected according to the review information, whether the review result is negative feedback information of the content to be judged is determined according to the content of the review information, as shown in fig. 2, if the review information is that the video is not clicked by the banner party fraudulently, and if the fact that the review user clicks the yes button is detected, the review user is determined to give the negative feedback information aiming at the content to be judged.
On the basis of the above technical solution, the selecting a user meeting a first preset condition from the user group as a review user may include:
determining a current online user in the user population;
and selecting users with a first preset proportion from the current online users as review users.
When the review user is selected from the user group, the current online user in the user group can be determined firstly, the users with the first preset proportion are selected from the current online users to serve as the review users, so that the opinions of a small number of users can be collected, the review result given by the review user can be collected in time by taking the current online user as the review user, and the timeliness of content distribution processing can be further improved.
On the basis of the above technical solution, the selecting a user meeting a first preset condition from the user group as a review user includes:
determining a total number of the user population;
determining the number of the review users according to the total number and a second preset proportion;
and selecting the users with the number of the evaluation users from the user group as the evaluation users, or selecting the users with the number of the evaluation users from the current time as the evaluation users according to the online time of the users in the user group.
When the review users are selected from the user group, the number of the review users can be determined according to a second preset proportion, and then the users with the number of the review users can be randomly selected from the user group to serve as the review users, or the users with the number of the review users who are online first can be selected from the current time to serve as the review users according to the online time sequence of the users in the user group, so that the opinions of a small number of users can be collected, the opinions of the review users can be quickly collected by the review users according to the online time sequence, and the timeliness of content distribution processing can be further improved.
On the basis of the technical scheme, the content to be judged is video content; the acquiring the content to be determined includes:
and performing streaming media identification on the video content, and determining the video content meeting a second preset condition as the content to be judged.
Wherein the second preset condition comprises: the similarity between the video content and preset sensitive content is smaller than a first similarity threshold and larger than a second similarity threshold, and the first similarity threshold is larger than the second similarity threshold; or the video content comprises preset video content.
When the content to be determined is video content, streaming media identification can be performed on received video content (for example, content just published by a user), whether the video content contains low-quality content such as sensitive content is determined, or a key frame in the video content is extracted, image identification is performed on the key frame, whether preset sensitive content exists in the key frame is identified, the similarity between the key frame and the preset sensitive content is calculated through identification, if the similarity is greater than or equal to a first similarity threshold, it is determined that the video content has low-quality content, distribution of the video content is stopped at this time, if the similarity is less than the first similarity threshold and greater than a second similarity threshold, the video content is determined as the content to be determined, and a corresponding user to be evaluated is selected for the content to be determined to evaluate.
In addition to identifying sensitive content in the video content, it may also be identified whether the video content includes preset video content, where the preset video content may be a preset regional dialect, for example, it is identified whether the video content includes the preset regional dialect, if the preset regional dialect includes the preset regional dialect, the video content is taken as the content to be determined, at this time, the users may be divided into users who like the preset regional dialect and users who do not like the preset regional dialect, such as northeast dialect, northern users are users who like northeast dialect, and southern users are users who do not like northeast dialect, and at this time, a user group formed by southern users may be determined as a user group corresponding to the content to be determined.
The user type of the video content may also be determined, for example, the user types may be classified according to the ages of the users, the video content with obvious age characteristics may be used as the content to be determined, and for example, when the video content related to child bearing is used as the content to be determined, a set of users under 30 years old and over 50 years old may be used as the user group corresponding to the content to be determined. Besides the above manner of dividing the user types according to the age characteristics, there may be other manners of dividing the user types, which is not limited herein.
The video content is identified by streaming media, the content to be judged can be determined in time, so that the evaluation information is issued to the corresponding evaluation user in time for evaluation, and the timeliness of content distribution processing is improved.
On the basis of the above technical solution, the obtaining of the content to be determined may further include:
and taking the content received by the negative feedback of the user as the content to be judged.
And if negative feedback information of a user to a certain content is received, taking the content as the content to be judged. For example, negative feedback information such as report information or dislike information of a user for a certain video content is received, and the video content is regarded as a content to be determined. And taking the users with the same or similar characteristics as the users giving negative feedback information as the user group corresponding to the content to be judged, and determining the user group by comparing the user images. The content may be video content, or content recommended to the user by information or the like. By taking the content received by the negative feedback of the user as the content to be judged, when one content receives the negative feedback of the user, the content to be judged can be immediately reviewed, so that the timeliness of content distribution processing is further improved, and the accuracy of content distribution is further improved.
On the basis of the above technical solution, the determining a distribution result of the content to be determined to the user group according to the review result includes:
determining the number of the review users with the negative review result, and determining the total number of the review users;
and if the ratio of the number to the total number is greater than or equal to a third preset ratio, determining that the distribution result of the content to be judged to the user group is the stop of distribution.
The negative result refers to negative feedback information of the content to be judged by the user, and is feedback information given by the user based on the evaluation information displayed on the display interface, and the feedback information is information that the user has negative attitude to the content to be judged, such as dislike.
If the proportion of the evaluation users with the negative evaluation results in all the evaluation users is greater than or equal to a third preset proportion, the fact that most of the evaluation users do not like the content to be judged is indicated, the fact that the corresponding user group does not like the content to be judged is determined, the feedback results of the evaluation users act on the corresponding user group, and the content to be judged is stopped being distributed to the user group. Or, if the proportion of the review users with the negative review result in the used review users is less than the third preset proportion, the result indicates that most of the review users do not feel the content to be determined, the content to be determined can be received, and the feedback result of the review users can be acted on the corresponding user group, so that the content to be determined can be continuously distributed to the user group. Whether the content to be judged is distributed to the corresponding user group is determined by evaluating the evaluation result of the user, the opinions of a small part of users are acted on similar users, the content which is not interested by the users is prevented from being distributed to the users, and the accuracy of content distribution is improved.
The following exemplifies video content including dialects as content to be determined. When video content published by a user is received, performing streaming media identification on the video content to identify whether the video content comprises a preset regional dialect (such as a northeast dialect); when the fact that the video content comprises the preset region dialect is recognized, determining a user group (such as a southern user group) with negative preference to the preset region dialect; extracting users meeting a first preset condition from the user group to serve as review users; when the review user watches the video content, issuing a review bomb layer to the review user, and giving the review bomb layer to obtain a review result of the user; and judging whether to continue to distribute the content to be judged or other video content of the same type to the user group according to the evaluation result. The extracted feedback information of a small part of the review users is quickly responded to the corresponding user group, so that the timeliness of content distribution processing is improved, and the accuracy of content distribution is improved.
Fig. 3 is a block diagram illustrating a content distribution apparatus according to an example embodiment. Referring to fig. 2, the apparatus includes a determination information determining module 31, a review user determining module 32, a review module 33, and a distribution processing module 34.
The judgment information determining module 31 is configured to acquire a content to be judged and determine a user group corresponding to the content to be judged;
the review user determination module 32 is configured to select users satisfying a first preset condition from the user group as review users;
the review module 33 is configured to issue review information of the content to be determined to the user terminal of the review user, and obtain a review result of the review user;
the distribution processing module 34 is configured to determine a distribution result of the content to be determined to the user group according to the review result.
Optionally, the review module includes:
and the review information issuing unit is configured to issue a review bomb layer of the content to be judged to the user terminal and display the review information on the review bomb layer when the user terminal displays the content to be judged.
Optionally, the first preset condition includes: and users with a first preset proportion in the current online users or users occupying a second preset proportion in the user group.
Optionally, the review user determination module includes:
an online user determination unit configured to determine a current online user in the user group;
and the first review user selection unit is configured to select users with a first preset proportion from the current online users as review users.
Optionally, the review user determination module includes:
a total number determination unit configured to determine a total number of the user population;
the first review user number determining unit is configured to determine the number of review users according to the total number and a second preset proportion;
and the second review user selecting unit is configured to select the users with the number of the review users from the user group as the review users, or select the users with the number of the review users from the current time as the review users according to the online time of the users in the user group.
Optionally, the content to be determined is video content;
the judgment information determination module includes:
and the first content to be judged determining unit is configured to perform streaming media identification on the video content and determine the video content meeting a second preset condition as the content to be judged.
Optionally, the second preset condition includes: the similarity between the video content and preset sensitive content is smaller than a first similarity threshold and larger than a second similarity threshold, and the first similarity threshold is larger than the second similarity threshold; or the video content comprises preset video content.
Optionally, the determination information determining module includes:
a second to-be-determined content determination unit configured to take the content received negative feedback from the user as the to-be-determined content.
Optionally, the distribution processing module includes:
the second review user number determining unit is configured to determine the number of review users of which the review result is a negative result, and determine the total number of the review users;
and the distribution processing unit is configured to determine that the distribution result of the content to be determined to the user group is stop distribution if the ratio of the number to the total number is greater than or equal to a third preset ratio.
The content distribution device disclosed in the exemplary embodiment obtains the content to be determined and determines a user group corresponding to the content to be determined through the determination information determination module, the review user determination module selects a user meeting a first preset condition from the user group as a review user, the review module issues review information of the content to be determined to the review user to obtain a review result of the review user, and the distribution processing module determines a distribution result of the content to be determined to the user group according to the review result, so that when the content to be determined is found, the opinions of the user can be obtained in time, and the distribution result of the content to be determined is distributed to all users in the user group where a small number of users are located according to the opinions of the small number of users, thereby improving the timeliness of content distribution and further improving the accuracy of content distribution.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
FIG. 4 is a block diagram illustrating a structure for a server according to an example embodiment. Referring to fig. 4, server 400 includes a processing component 422, which further includes one or more processors, and memory resources, represented by memory 432, for storing instructions, such as applications, that are executable by processing component 422. The application programs stored in memory 432 may include one or more modules that each correspond to a set of instructions. Further, the processing component 422 is configured to execute instructions to perform the content distribution method described above.
The server 400 may also include a power component 426 configured to perform power management of the server 400, a wired or wireless network interface 450 configured to connect the server 400 to a network, and an input/output (I/O) interface 458. The server 400 may operate based on an operating system stored in memory 432, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a storage medium comprising instructions, such as the memory 432 comprising instructions, executable by the processing component 422 of the server 400 to perform the content distribution method described above is also provided. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, a computer program product is also provided, which comprises readable program code executable by the component 422 of the server 400 to perform the above-described content distribution method. Alternatively, the program code may be stored in a storage medium of the server 400, which may be a non-transitory computer-readable storage medium, for example, ROM, Random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
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 variations, 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 will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (20)
1. A content distribution method, comprising:
acquiring content to be judged, and determining a user group corresponding to the content to be judged, wherein the user group corresponding to the content to be judged is as follows: a set of users having the same or similar characteristics as the user who negatively feeds back the content to be determined;
selecting users meeting a first preset condition from the user group as review users;
sending the review information of the content to be judged to the user terminal of the review user, and acquiring the review result of the review user;
and determining the distribution result of the content to be judged to the user group according to the evaluation result.
2. The method of claim 1, wherein the issuing of the review information of the content to be determined to the review user comprises:
and when the user terminal displays the content to be judged, issuing a review bomb layer of the content to be judged to the user terminal, and displaying the review information on the review bomb layer.
3. The method according to claim 1, wherein the first preset condition comprises: and users with a first preset proportion in the current online users or users occupying a second preset proportion in the user group.
4. The method according to claim 3, wherein the selecting users from the user group that satisfy the first preset condition as review users comprises:
determining a current online user in the user population;
and selecting users with a first preset proportion from the current online users as review users.
5. The method according to claim 3, wherein the selecting users from the user group that satisfy the first preset condition as review users comprises:
determining a total number of the user population;
determining the number of the review users according to the total number and a second preset proportion;
and selecting the users with the number of the evaluation users from the user group as the evaluation users, or selecting the users with the number of the evaluation users from the current time as the evaluation users according to the online time of the users in the user group.
6. The method according to claim 1, wherein the content to be determined is video content;
the acquiring the content to be determined includes:
and performing streaming media identification on the video content, and determining the video content meeting a second preset condition as the content to be judged.
7. The method according to claim 6, wherein the second preset condition comprises: the similarity between the video content and preset sensitive content is smaller than a first similarity threshold and larger than a second similarity threshold, and the first similarity threshold is larger than the second similarity threshold; or the video content comprises preset video content.
8. The method according to claim 1, wherein the obtaining the content to be determined comprises:
and taking the content received by the negative feedback of the user as the content to be judged.
9. The method according to claim 1, wherein the determining a distribution result of the content to be determined to the user group according to the review result comprises:
determining the number of the review users with the negative review result, and determining the total number of the review users;
and if the ratio of the number to the total number is greater than or equal to a third preset ratio, determining that the distribution result of the content to be judged to the user group is the stop of distribution.
10. A content distribution apparatus, characterized by comprising:
the judgment information determining module is configured to acquire a content to be judged and determine a user group corresponding to the content to be judged, wherein the user group corresponding to the content to be judged is: a set of users having the same or similar characteristics as the user who negatively feeds back the content to be determined;
the system comprises a review user determining module, a review user determining module and a review user selecting module, wherein the review user determining module is configured to select users meeting a first preset condition from the user group as review users;
the review module is configured to issue review information of the content to be judged to the user terminal of the review user and acquire a review result of the review user;
and the distribution processing module is configured to determine a distribution result of the content to be judged to the user group according to the evaluation result.
11. The apparatus of claim 10, wherein the review module comprises:
and the review information issuing unit is configured to issue a review bomb layer of the content to be judged to the user terminal and display the review information on the review bomb layer when the user terminal displays the content to be judged.
12. The apparatus of claim 10, wherein the first preset condition comprises: and users with a first preset proportion in the current online users or users occupying a second preset proportion in the user group.
13. The apparatus of claim 12, wherein the review user determination module comprises:
an online user determination unit configured to determine a current online user in the user group;
and the first review user selection unit is configured to select users with a first preset proportion from the current online users as review users.
14. The apparatus of claim 12, wherein the review user determination module comprises:
a total number determination unit configured to determine a total number of the user population;
the first review user number determining unit is configured to determine the number of review users according to the total number and a second preset proportion;
and the second review user selecting unit is configured to select the users with the number of the review users from the user group as the review users, or select the users with the number of the review users from the current time as the review users according to the online time of the users in the user group.
15. The apparatus according to claim 10, wherein the content to be determined is video content;
the judgment information determination module includes:
and the first content to be judged determining unit is configured to perform streaming media identification on the video content and determine the video content meeting a second preset condition as the content to be judged.
16. The apparatus of claim 15, wherein the second preset condition comprises: the similarity between the video content and preset sensitive content is smaller than a first similarity threshold and larger than a second similarity threshold, and the first similarity threshold is larger than the second similarity threshold; or the video content comprises preset video content.
17. The apparatus of claim 10, wherein the decision information determining module comprises:
a second to-be-determined content determination unit configured to take the content received negative feedback from the user as the to-be-determined content.
18. The apparatus of claim 10, wherein the distribution processing module comprises:
the second review user number determining unit is configured to determine the number of review users of which the review result is a negative result, and determine the total number of the review users;
and the distribution processing unit is configured to determine that the distribution result of the content to be determined to the user group is stop distribution if the ratio of the number to the total number is greater than or equal to a third preset ratio.
19. 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 distribution method of any one of claims 1 to 9.
20. A storage medium in which instructions, when executed by a processor of a server, enable the server to perform the content distribution method of any one of claims 1 to 9.
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