CN108737902B - Associated video updating method and device and electronic equipment - Google Patents
Associated video updating method and device and electronic equipment Download PDFInfo
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- CN108737902B CN108737902B CN201810496128.XA CN201810496128A CN108737902B CN 108737902 B CN108737902 B CN 108737902B CN 201810496128 A CN201810496128 A CN 201810496128A CN 108737902 B CN108737902 B CN 108737902B
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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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
Abstract
The embodiment of the invention provides a method and a device for updating a related video and electronic equipment, wherein the method comprises the following steps: acquiring each incidence relation between a target video and each incidence video; obtaining the scoring result of each user on each incidence relation between the target video and each incidence video; calculating the total scoring result of each user on each incidence relation; and taking each associated video corresponding to each association relation with the score result sum larger than the threshold value as the updated associated video of the target video. The embodiment of the invention discloses a method, a device and electronic equipment for updating associated videos, which can effectively push video contents meeting the requirements of users for the users.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for updating an associated video, and an electronic device.
Background
With the development of computer technology, video application software is rapidly developed, and more users are used to watch video contents which are wanted by themselves through the video application software. And the video application software can recommend more video resources to the user according to the video watched by the user for the user to select.
When the video is recommended for the user, the video needs to be associated in advance, and then when the user finishes watching the current video, the related video is recommended for the user directly according to the associated video stored in advance. The existing video association mode is mainly automatic association, that is, according to the video content currently watched by a user, actors, directors and types of the video content are taken as association factors, and video resources corresponding to the association factors are automatically associated. And storing the associated videos in a database, and automatically recommending other related videos for the user when the user finishes watching one of the associated videos.
However, the inventor finds that the prior art has at least the following problems in the process of implementing the invention:
when the existing video association method is used for associating videos, the participation degree of users is low, so that the videos pushed for the users according to the association method cannot effectively meet the requirements of the users.
Disclosure of Invention
The embodiment of the invention aims to provide an associated video updating method, an associated video updating device and electronic equipment, so that video content meeting user requirements can be effectively pushed to a user. The specific technical scheme is as follows:
in order to achieve the above object, an embodiment of the present invention discloses an update method for associated videos, including:
acquiring each incidence relation between a target video and each incidence video;
obtaining the scoring result of each user on each incidence relation between the target video and each incidence video;
calculating the total scoring result of each user on each incidence relation;
and taking each associated video corresponding to each association relation with the score result sum larger than the threshold value as the updated associated video of the target video.
Optionally, the step of obtaining each association relationship between the target video and each associated video includes:
acquiring a stored first association relation; the first association relationship is: determining and storing a first association relation between the target video and each first associated video in advance according to a preset video association algorithm;
the step of obtaining the scoring result of each user on each incidence relation between the target video and each incidence video comprises the following steps:
and acquiring a first scoring result of each first association relation between the target video and each first associated video of each user.
Optionally, the step of obtaining each association relationship between the target video and each associated video further includes:
acquiring a saved second association relation; the second correlation is as follows: aiming at second associated videos which are added to the comment content of the target video according to the user in advance, and second association relations between the target video and the second associated videos are stored;
the step of obtaining the scoring result of each user on each association relationship between the target video and each associated video further includes:
and obtaining the scoring result of each user on each second association relation between the target video and each second association video.
Optionally, the obtaining the scoring result of each user on each association relationship between the target video and each associated video includes:
obtaining the evaluation of each user on each incidence relation;
and aiming at each incidence relation, obtaining a grading result corresponding to the evaluation of the incidence relation according to a preset grading rule.
Optionally, the calculating a total of scoring results of each user on each association includes:
screening high-quality users meeting preset rules;
increasing a preset weight for the scoring result of each incidence relation evaluated by each high-quality user;
and taking the scoring result added with the preset weight as the evaluation of each incidence relation of the high-quality user, and calculating the total scoring result corresponding to each incidence relation.
In order to achieve the above object, an embodiment of the present invention further discloses an update apparatus for associated video, including:
the incidence relation acquisition module is used for acquiring each incidence relation between the target video and each incidence video;
the scoring result acquisition module is used for acquiring scoring results of all incidence relations of the target videos and all the associated videos from all the users;
the scoring result sum determining module is used for calculating the scoring result sum of each user on each incidence relation;
and the updated video determining module is used for taking each associated video corresponding to each association relation with the score result sum larger than the threshold value as the updated associated video of the target video.
Optionally, the association relationship obtaining module includes:
the first incidence relation obtaining sub-module is used for obtaining the saved first incidence relation; the first association relationship is: determining and storing a first association relation between the target video and each first associated video in advance according to a preset video association algorithm;
the scoring result obtaining module is specifically configured to obtain first scoring results of each first association relationship between the target video and each first associated video for each user.
Optionally, the association relationship obtaining module further includes:
a second incidence relation obtaining submodule, configured to obtain a stored second incidence relation; the second correlation is as follows: aiming at second associated videos which are added to the comment content of the target video according to the user in advance, and second association relations between the target video and the second associated videos are stored;
the scoring result obtaining module is specifically configured to obtain a scoring result of each second association relationship between the target video and each second associated video for each user.
Optionally, the scoring result obtaining module includes:
the evaluation acquisition submodule is used for acquiring the evaluation of each user on each incidence relation;
and the scoring result obtaining sub-module is used for obtaining a scoring result corresponding to the evaluation of each incidence relation according to a preset scoring rule.
Optionally, the scoring result sum determining module includes:
the high-quality user screening submodule is used for screening high-quality users which accord with preset rules;
the preset weight increasing submodule is used for increasing preset weight for the scoring result of each incidence relation evaluated by each high-quality user;
and the scoring result sum determining submodule is used for taking the scoring result added with the preset weight as the evaluation of each incidence relation of the high-quality user and calculating the scoring result sum corresponding to each incidence relation.
In order to achieve the above object, an embodiment of the present invention further discloses an electronic device, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete mutual communication through the communication bus;
the memory is used for storing a computer program;
the processor is configured to implement the method steps of any one of the above related video update methods when executing the program stored in the memory.
In order to achieve the above object, an embodiment of the present invention further discloses a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the method steps in any one of the above associated video updating methods are implemented.
The method, the device and the electronic equipment for associating the video content, provided by the embodiment of the invention, can be used for effectively pushing the video content meeting the user requirements for the user. According to the embodiment of the invention, the scoring result of the user is used as the association factor of the associated video after the target video is updated, so that the social attribute of the user is fully considered. And the scoring result of each incidence relation is based on real evaluation of a large number of users, so that the video content recommended to the user finally has higher degree of correlation with the target video and higher quality of video quality, and further the video content meeting the user requirements is effectively pushed to the user.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a flowchart of an associated video updating method according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for obtaining scoring results of association relationships in an update method of an associated video according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining a total sum of scoring results of each association in an update method of an associated video according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an associated video update apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.
With the development of computer technology, video application software is rapidly developed, and more users are used to watch video contents which are wanted by themselves through the video application software. And the video application software can recommend more video resources to the user according to the video watched by the user for the user to select.
When the video is recommended for the user, the video needs to be associated in advance, and then when the user finishes watching the current video, the related video is recommended for the user directly according to the associated video stored in advance. There are two main video association methods, one is a series video, for example, watching movie a1, and it will automatically associate with other series video of this movie a, for example, a2, A3. The other is automatic association, that is, according to the video content currently viewed by the user, the actor, director and type of the video content are used as association factors, and the video resources corresponding to the association factors are automatically associated. And storing the associated videos in a database, and automatically recommending other related videos for the user when the user finishes watching one of the associated videos. However, the inventor researches and discovers that when the existing video association method associates videos, the user participation degree is low, so that the videos pushed for the user according to the association mode cannot effectively meet the user requirements.
In order to solve the technical problem, the embodiment of the invention discloses an updating method of an associated video, which is characterized in that comment attributes of users are added into a method for calculating the associated video to form an effective updating method of the associated video, so that video content meeting user requirements is effectively pushed to the users. The specific implementation mode is as follows:
in a first aspect, an embodiment of the present invention discloses an update method of an associated video, as shown in fig. 1. Fig. 1 is a flowchart of an update method of an associated video according to an embodiment of the present invention, including:
s101, obtaining each incidence relation between a target video and each incidence video;
in the step, in the video application software where the current user is located, the target video that is watched by the current user at the current time and all the associated videos obtained according to the target video are obtained. And further establishing association for the corresponding relation between the target video and each associated video. In the embodiment of the present invention, a correspondence between a target video and each associated video obtained according to the target video is defined as an association in the embodiment of the present invention. For example, if the target video watched by the current user 1 is a, and the associated videos are B, C, and D, the association relationships of a-B, a-C, and a-D can be established.
S102, obtaining the grading result of each user on each incidence relation between the target video and each incidence video;
in this step, after the user 1 shares the respective association relationships between the target video and the respective associated videos to the video social platform, the user 1 and other users on the video social platform may evaluate the respective association relationships, for example, quality evaluation of the association relationships such as comment/forward/bad comment is performed on each association relationship. Each review is converted to a corresponding score according to the scoring rules set for each review. For example, like: 1 minute; comment on: 2 min; forwarding: score 3, poor score-1.
And respectively acquiring the scoring result of each association relationship in a database of the video social platform. The acquisition mode can be divided into two types: one is to obtain the scoring result of each user on each incidence relation according to the user mode, for example, to search the evaluation of each incidence relation related to the target video evaluated by the user 1, and convert each evaluation into a corresponding score; and searching the evaluation of each incidence relation, which is evaluated by the user n and related to the target video, and converting each evaluation into a corresponding score. The other is to obtain the scoring result of each user on the association relationship in the manner of the association relationship, for example, all the evaluations of the association relationship a-B are searched, and each evaluation is converted into a corresponding score; searching all the evaluations of the incidence relation A-C, and converting each evaluation into a corresponding score; all evaluations of the associative relations a-D are looked up.
And S103, calculating the total scoring result of each user on each association relationship.
And calculating the total sum of all scoring results of the association relation in a summation mode aiming at each association relation.
In the embodiment of the invention, the total scoring result of each incidence relation can be calculated in a parallel mode, and the total scoring result of each incidence relation can also be sequentially calculated in a serial calculation mode.
And S104, taking the relevant videos corresponding to the relevant relations of which the total scoring results are larger than the threshold value as the updated relevant videos of the target video.
In this step, a threshold for determining the updated associated video may be set, the threshold may be a numerical value set according to a percentage of a highest value of the historical statistical data, and a specific numerical value size may be user-defined.
After the total scoring result of each association is determined, a detection program may be set in this step, the relationship between the total scoring result of each association and the threshold is detected, and the associated video corresponding to the association greater than the threshold is used as the updated associated video of the target video.
The specific implementation modes can be as follows: a real-time detection manner, specifically, after obtaining the total scoring result of one association every time in the above step S103, the detection program determines the size of the total scoring result of the association and the threshold, and if the total scoring result of the association is greater than the threshold, the associated video corresponding to the association is used as the updated video of the target video. Another way is a batch detection mode, specifically, after the total scoring results of all the association relations corresponding to the target video are obtained in step S103, the total scoring of each association relation and the size of the threshold are detected in batch, and each associated video corresponding to each association relation larger than the threshold is used as each updated video of the target video.
The method for associating the video content provided by the embodiment of the invention realizes the effective pushing of the video content meeting the user requirements for the user. According to the embodiment of the invention, the scoring result of the user is used as the association factor of the associated video after the target video is updated, so that the social attribute of the user is fully considered. And the scoring result of each incidence relation is based on real evaluation of a large number of users, so that the video content recommended to the user finally has higher degree of correlation with the target video and higher quality of video quality, and further the video content meeting the user requirements is effectively pushed to the user.
Optionally, in an embodiment of the associated video updating method of the present invention, in S101, an implementation manner of obtaining each association relationship between the target video and each associated video may include two manners:
firstly, acquiring a stored first association relation; the first association may be: and determining and storing a first association relation between the target video and each first associated video in advance according to a preset video association algorithm.
In this step, the essence of obtaining the first association relationship is: acquiring associated videos determined and stored by a target video according to a preset video association algorithm, further establishing a corresponding relation between the target video and each associated video, and defining the corresponding relation established between the target video and the associated video as a first associated video of the embodiment of the invention.
For example, a video a watched by the user 1 is taken as a target video a, and each video B, C, D determined by the target video a according to a preset video association algorithm is taken as each first associated video corresponding to the target video a. After the user 1 finishes watching the target video a, each first associated video B, C, D obtained according to the target video a is pre-stored in a database on the video social platform.
In this step, the target video a and each first associated video B, C, D obtained by the target video a according to a preset video association algorithm may be directly obtained from the database on the video social platform, and then the association of a-B, A-C, A-D is established, where a-B, A-C, A-D is each first association relationship in the embodiment of the present invention.
And secondly, acquiring a second stored association relation on the basis of acquiring the first association relation. The second association may be: and aiming at second associated videos which are added to the comment content of the target video according to the user in advance, storing second associated relations between the target video and the second associated videos.
In this step, the essence of obtaining the second association relationship is: acquiring the associated videos added to the target video according to the comment content of the user, further establishing a corresponding relationship between the target video and each added associated video, and defining the corresponding relationship between the target video and the added associated video as a second associated video in the embodiment of the present invention.
For example, a video a watched by the user 1 is taken as a target video a, and each video B, C, D determined by the target video a according to a preset video association algorithm is taken as each first associated video corresponding to the target video a. The user 1 may share the target video a and each first associated video B, C, D on the video social platform, and after seeing the sharing of the user 1 with other users belonging to the video social platform, comment content may be added to the target video a, where the comment content may include other associated videos E, F added according to the target video, and the associated video E, F is defined as a second associated video according to the embodiment of the present invention. The video social platform may obtain each added second associated video E, F from the comment content of the target video a, and further store each added second associated video E, F according to the target video a in a database on the video social platform in advance.
In this step, the target video a and the second associated video E, F added to the comment content of the target video a by the user may be directly obtained from the database on the video social platform, and then the association of a-E, A-F is established, where a-E, A-F is each second association relationship in the embodiment of the present invention.
Correspondingly, in the S102, an implementation manner of obtaining the scoring result of each user on each association relationship between the target video and each associated video may be two manners:
first, a first scoring result of each user on each first association relation between the target video and each first associated video is obtained.
In the implementation of the invention, the associated videos B, C and D obtained by the target video according to the preset video association algorithm set in the video application software where the user is located are respectively defined as the first associated video in the embodiment of the invention. And defining the grading result of each first association relation between the target video and each first association video as a first grading result.
For example, when the user 1 has viewed the target video a, the association between each first associated video B, C, D obtained from the target video a and the target video a may be evaluated. For example, the association between the first associated video B and the target video a by the user 1 is evaluated as like; evaluating the correlation between the first correlation video C and the target video A as poor evaluation; and evaluating the association between the first associated video C and the target video A to be in accordance with the association corresponding to the video to be watched.
Further, the user 1 may share the first associated videos B, C, D of the target video a and the ratings of the user 1 to the video social platform. The association between the target video a and the first associated video B, the association between the target video a and the first associated video C, and the association between the target video a and the first associated video D can be evaluated respectively by the user 1 and other users who belong to the video social platform and can see the shared information of the user 1.
In this step, the evaluation of all users corresponding to each association relationship may be obtained on the video social platform according to each first association relationship. Specifically, the evaluation of each user on the association of the target video A and the first associated video B is obtained, and the obtained evaluation is the evaluation of the first association relation A-B of the target video A and the first associated video B; obtaining the evaluation of each user on the association of the target video A and the first associated video C, wherein the obtained evaluation is the evaluation of the first association relation A-C of the target video A and the first associated video C; and obtaining the evaluation of each user on the association between the target video A and the first associated video D, wherein the obtained evaluation is the evaluation of the first association relation A-D between the target video A and the first associated video D.
After the evaluation of each user on each first incidence relation of the target video and each first incidence video is obtained, each evaluation can be converted into a corresponding score according to a preset scoring rule set for each evaluation, so that a scoring result of each user on each first incidence relation is obtained, and a first scoring result of each first incidence relation is obtained according to the embodiment of the invention.
And secondly, acquiring the grading result of each user on each second association relation between the target video and each second associated video on the basis of acquiring the first grading result.
In the implementation of the present invention, a video added by the user for the comment content of the target video is defined as a second associated video in the embodiment of the present invention. And defining the grading result of each second association relation between the target video and each second association video as a second grading result.
For example, comment content may be added to the target video a by other users who belong to the video social platform together with the user 1 and can see the shared information of the user 1, and the comment content may include the second associated video E, F added according to the target video. And evaluating the association between the added second associated video E and the target video A, and evaluating the association between the added second associated video F and the target video A. Other users who can see the added second associated video E, F can also rate the second associated video E, F for its association with the target video a, and other second associated videos can also be added.
In this step, the evaluation of all users corresponding to each association relationship may be obtained on the video social platform according to each second association relationship. Specifically, the evaluation of each user on the association of the target video A and the second associated video E is obtained, and the obtained evaluation is the evaluation of the second association relationship A-E of the target video A and the second associated video E; and obtaining the evaluation of each user on the association between the target video A and the second associated video F, wherein the obtained evaluation is the evaluation of the first association relation A-F between the target video A and the second associated video F.
After the evaluation of each user on each second association relation between the target video and each second association video is obtained, each evaluation can be converted into a corresponding score according to a preset scoring rule set for each evaluation, so that a scoring result of each user on each second association relation is obtained, and a second scoring result of each second association relation is obtained according to the embodiment of the invention.
Therefore, by the embodiment of the invention, the grading result of each user on each incidence relation between the target video and each incidence video can be obtained, and the incidence videos corresponding to the incidence relations meeting the requirements can be conveniently screened according to the grading result in the later stage.
Optionally, in an embodiment of the method for updating associated videos of the present invention, an implementation manner of obtaining a scoring result of each user on each association relationship between the target video and each associated video in S102 may be as shown in fig. 2. Fig. 2 is a flowchart of a method for obtaining scoring results of association relationships in an update method of an associated video according to an embodiment of the present invention, where the method includes:
s201, obtaining the evaluation of each user to each incidence relation.
In the embodiment of the present invention, there are two implementation manners for obtaining the evaluation of each user on each association relationship: one is to obtain the evaluation of each user on the association relations in a user mode, for example, to find the evaluation of each association relation related to the target video evaluated by the user 1. The other is to obtain the score of each user for the association relationship in the manner of association relationship, for example, search all the evaluations of the association relationship a-B; searching all results of the incidence relation A-C; searching all results of the incidence relations A-D; all results of the associative relationship a-E are looked up.
S202, aiming at each incidence relation, obtaining a grading result corresponding to the evaluation of the incidence relation according to a preset grading rule.
The preset scoring mode of the embodiment of the invention is a rule that each evaluation of a user is set with a corresponding score so as to obtain the score corresponding to each incidence relation.
In the embodiment of the invention, the evaluation is the quality evaluation of the association relation such as comment/forwarding/bad comment on each association relation. The preset scoring rule is a scoring rule set for each evaluation, and each comment is converted into a corresponding scoring rule. For example, like: 1 minute; comment on: 2 min; forwarding: score 3, poor score-1.
In this step, for each association, a scoring result corresponding to the evaluation of the association may be obtained according to a preset scoring rule.
Therefore, the method and the device can realize the score conversion of the evaluation of each association relation by the user, further obtain the score result of each association relation, and facilitate the determination of each updated association video corresponding to the target video through the comparison of the score value and the threshold value in the later period.
Alternatively, in an embodiment of the method for updating an associated video according to the present invention, in S103, an implementation manner of calculating a total sum of scoring results of each user on each association relationship may be as shown in fig. 3. Fig. 3 is a flowchart of a method for determining a total sum of scoring results of each association in an update method of an associated video according to an embodiment of the present invention, where the method includes:
s301, screening high-quality users meeting preset rules.
In this step, the user vermicelli amount threshold value may be set as a preset rule, and then each corresponding user is determined as a high-quality user when the vermicelli amount in all users exceeds the threshold value.
In addition, a threshold value can be set for the time of the user using the video social platform, the threshold value for the time of using the video social platform is further set as a preset rule, and the user using the video software social platform to exceed the threshold value in all users is determined to be a good-quality user.
And S302, adding preset weight to the scoring result of each incidence relation evaluated by each high-quality user.
Specifically, the scoring result of each association of each high-quality user is searched, and a preset weight is added to each scoring result, where the preset weight may be a coefficient of the scoring result of each association. In the embodiment of the invention, a weight can be set for each incidence relation of a high-quality user, and a weight can also be set for all incidence relations, and specifically, the weight can be set by an implementer according to requirements.
For example, the high-quality user is user 2, the preset weight is 1.5, and the rating result of the association relationship A-B evaluated by the user 2 is 5; the scoring result for association a-C is 10, the scoring result for association a-D is 7, and the scoring result for association a-E is 2.
And S303, taking the scoring result added with the preset weight as the evaluation of each association relation of the high-quality user, and calculating the total scoring result corresponding to each association relation.
After the preset weight is added to the scoring result of each association evaluated by each high-quality user in the step S302, the scoring result of each high-quality user on each association can be calculated, and further the total scoring result of each user on each association can be calculated.
For example, the preset weight of the user 2 of the high-quality user is 1.5, and the rating result of the association relationship a-B evaluated by the user 2 is 5; if the rating result of the association relationship A-C is 10, the rating result of the association relationship A-D is 7, and the rating result of the association relationship A-E is 2, the rating result of the association relationship A-B evaluated by the user 2 is 7.5; the scoring result of the incidence relation A-C evaluated by the user 2 is 15; the rating result of the association relationship A-D evaluated by the user 2 is 10.5; the user 2 evaluates the association a-D to a score of 3. Counting the total scoring results of all users for the association relationship A-B to obtain the total scoring results corresponding to the association relationship A-B; counting the total scoring results of all users for the association relationship A-C to obtain the total scoring results corresponding to the association relationship A-C; and counting the total scoring results of all the users for the association relations A-D to obtain the total scoring results corresponding to the association relations A-D.
Therefore, the embodiment of the invention can fully consider the user attribute, and further weight the scoring result of the high-quality user, so that the finally obtained association relation corresponding to the target video can reflect the influence of user comments, and the updated association video is closer to the user requirement.
On the other hand, the embodiment of the invention also discloses a device for updating the associated video, as shown in fig. 4. Fig. 4 is a schematic structural diagram of an associated video update apparatus according to an embodiment of the present invention, including:
an association relation obtaining module 401, configured to obtain each association relation between a target video and each association video;
a scoring result obtaining module 402, configured to obtain scoring results of each user on each association relationship between the target video and each associated video;
a total scoring result determining module 403, configured to calculate a total scoring result of each user for each association;
and an updated video determining module 404, configured to use each associated video corresponding to each association relationship with the score sum larger than the threshold as an updated associated video of the target video.
The device for associating the video content provided by the embodiment of the invention realizes the effective pushing of the video content meeting the user requirements for the user. According to the embodiment of the invention, the scoring result of the user is used as the association factor of the associated video after the target video is updated, so that the social attribute of the user is fully considered. And the scoring result of each incidence relation is based on real evaluation of a large number of users, so that the video content recommended to the user finally has higher degree of correlation with the target video and higher quality of video quality, and further the video content meeting the user requirements is effectively pushed to the user.
Optionally, in an embodiment of the apparatus for updating an association video according to the present invention, the association relation obtaining module 401 includes:
the first incidence relation obtaining sub-module is used for obtaining the saved first incidence relation; the first correlation is: determining and storing a first association relation between a target video and each first associated video in advance according to a preset video association algorithm;
and the scoring result acquisition module is specifically used for acquiring first scoring results of the first association relations of the target videos and the first associated videos of the users.
Optionally, in an embodiment of the apparatus for updating an association video according to the present invention, the association relation obtaining module 401 further includes:
a second incidence relation obtaining submodule, configured to obtain a stored second incidence relation; the second correlation is: aiming at second associated videos which are added to the comment content of the target video according to the user in advance, second association relations between the target video and the second associated videos are stored;
and the scoring result acquisition module is specifically used for acquiring the scoring results of the second association relations of the target videos and the second associated videos of each user.
Optionally, in an embodiment of the apparatus for updating associated videos of the present invention, the scoring result obtaining module 402 includes:
the evaluation acquisition submodule is used for acquiring the evaluation of each user on each incidence relation;
and the scoring result obtaining sub-module is used for obtaining a scoring result corresponding to the evaluation of each incidence relation according to a preset scoring rule.
Optionally, in an embodiment of the apparatus for updating associated videos of the present invention, the scoring result sum determining module 403 includes:
the high-quality user screening submodule is used for screening high-quality users which accord with preset rules;
the preset weight increasing submodule is used for increasing preset weight for the scoring result of each incidence relation evaluated by each high-quality user;
and the scoring result sum determining submodule is used for taking the scoring result added with the preset weight as the evaluation of each incidence relation of the high-quality user and calculating the scoring result sum corresponding to each incidence relation.
In another aspect, an embodiment of the present invention further discloses an electronic device, as shown in fig. 5. Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, which includes a processor 501, a communication interface 502, a memory 503 and a communication bus 504, where the processor 501, the communication interface 502 and the memory 503 complete communication with each other through the communication bus 504;
a memory 503 for storing a computer program;
the processor 501 is configured to implement the following method steps when executing the program stored in the memory:
acquiring each incidence relation between a target video and each incidence video;
obtaining the scoring result of each user on each incidence relation between the target video and each incidence video;
calculating the total scoring result of each user on each incidence relation;
and taking each associated video corresponding to each association relation with the score result sum larger than the threshold value as the updated associated video of the target video.
The communication bus 604 mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 604 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface 502 is used for communication between the above-described electronic apparatus and other apparatuses.
The Memory 503 may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory 503 may also be at least one storage device located remotely from the processor 601.
The Processor 501 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
The electronic equipment provided by the embodiment of the invention realizes the effective pushing of the video content meeting the user requirements for the user. According to the embodiment of the invention, the scoring result of the user is used as the association factor of the associated video after the target video is updated, so that the social attribute of the user is fully considered. And the scoring result of each incidence relation is based on real evaluation of a large number of users, so that the video content recommended to the user finally has higher degree of correlation with the target video and higher quality of video quality, and further the video content meeting the user requirements is effectively pushed to the user.
In another aspect, an embodiment of the present invention further discloses a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the following method steps are implemented:
acquiring each incidence relation between a target video and each incidence video;
obtaining the scoring result of each user on each incidence relation between the target video and each incidence video;
calculating the total scoring result of each user on each incidence relation;
and taking each associated video corresponding to each association relation with the score result sum larger than the threshold value as the updated associated video of the target video.
The computer-readable storage medium provided by the embodiment of the invention realizes the effective pushing of the video content meeting the user requirements for the user. According to the embodiment of the invention, the scoring result of the user is used as the association factor of the associated video after the target video is updated, so that the social attribute of the user is fully considered. And the scoring result of each incidence relation is based on real evaluation of a large number of users, so that the video content recommended to the user finally has higher degree of correlation with the target video and higher quality of video quality, and further the video content meeting the user requirements is effectively pushed to the user.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the invention are brought about in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the electronic device, and the computer-readable storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (11)
1. An update method of an associated video, comprising:
acquiring each incidence relation between a target video and each incidence video;
obtaining the scoring result of each user on each incidence relation between the target video and each incidence video;
calculating the total scoring result of each user on each incidence relation;
and taking each associated video corresponding to each association relation with the score result sum larger than the threshold value as the updated associated video of the target video.
2. The method according to claim 1, wherein the step of obtaining each association relationship between the target video and each associated video comprises:
acquiring a stored first association relation; the first association relationship is: determining and storing a first association relation between the target video and each first associated video in advance according to a preset video association algorithm;
the step of obtaining the scoring result of each user on each incidence relation between the target video and each incidence video comprises the following steps:
and acquiring a first scoring result of each first association relation between the target video and each first associated video of each user.
3. The method according to claim 2, wherein the step of obtaining each association relationship between the target video and each associated video further comprises:
acquiring a saved second association relation; the second correlation is as follows: aiming at second associated videos which are added to the comment content of the target video according to the user in advance, and second association relations between the target video and the second associated videos are stored;
the step of obtaining the scoring result of each user on each association relationship between the target video and each associated video further includes:
and obtaining the scoring result of each user on each second association relation between the target video and each second association video.
4. The method according to claim 1, wherein the obtaining the scoring result of each user on each association relationship between the target video and each associated video comprises:
obtaining the evaluation of each user on each incidence relation;
and aiming at each incidence relation, obtaining a grading result corresponding to the evaluation of the incidence relation according to a preset grading rule.
5. The method of claim 1, wherein calculating a total of scoring results for each user for each association comprises:
screening high-quality users meeting preset rules;
increasing a preset weight for the scoring result of each incidence relation evaluated by each high-quality user;
and taking the scoring result added with the preset weight as the evaluation of each incidence relation of the high-quality user, and calculating the total scoring result corresponding to each incidence relation.
6. An update apparatus for associating videos, comprising:
the incidence relation acquisition module is used for acquiring each incidence relation between the target video and each incidence video;
the scoring result acquisition module is used for acquiring scoring results of all incidence relations of the target videos and all the associated videos from all the users;
the scoring result sum determining module is used for calculating the scoring result sum of each user on each incidence relation;
and the updated video determining module is used for taking each associated video corresponding to each association relation with the score result sum larger than the threshold value as the updated associated video of the target video.
7. The apparatus of claim 6, wherein the association obtaining module comprises:
the first incidence relation obtaining sub-module is used for obtaining the saved first incidence relation; the first association relationship is: determining and storing a first association relation between the target video and each first associated video in advance according to a preset video association algorithm;
the scoring result obtaining module is specifically configured to obtain first scoring results of each first association relationship between the target video and each first associated video for each user.
8. The apparatus of claim 7, wherein the association obtaining module further comprises:
a second incidence relation obtaining submodule, configured to obtain a stored second incidence relation; the second correlation is as follows: aiming at second associated videos which are added to the comment content of the target video according to the user in advance, and second association relations between the target video and the second associated videos are stored;
the scoring result obtaining module is specifically configured to obtain scoring results of each second association relationship between the target video and each second association video, where the scoring results are obtained by each user.
9. The apparatus of claim 6, wherein the scoring result obtaining module comprises:
the evaluation acquisition submodule is used for acquiring the evaluation of each user on each incidence relation;
and the scoring result obtaining sub-module is used for obtaining a scoring result corresponding to the evaluation of each incidence relation according to a preset scoring rule.
10. The apparatus of claim 6, wherein the scoring result sum determining module comprises:
the high-quality user screening submodule is used for screening high-quality users which accord with preset rules;
the preset weight increasing submodule is used for increasing preset weight for the scoring result of each incidence relation evaluated by each high-quality user;
and the scoring result sum determining submodule is used for taking the scoring result added with the preset weight as the evaluation of each incidence relation of the high-quality user and calculating the scoring result sum corresponding to each incidence relation.
11. An electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;
the memory is used for storing a computer program;
the processor, when executing the program stored in the memory, implementing the method steps of any of claims 1-5.
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