CN107220329A - The evaluation method and device of video resource - Google Patents
The evaluation method and device of video resource Download PDFInfo
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- CN107220329A CN107220329A CN201710371975.9A CN201710371975A CN107220329A CN 107220329 A CN107220329 A CN 107220329A CN 201710371975 A CN201710371975 A CN 201710371975A CN 107220329 A CN107220329 A CN 107220329A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/735—Filtering based on additional data, e.g. user or group profiles
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Abstract
The present invention relates to a kind of evaluation method and device of video resource, each video resource is initialised when being uploaded to shared platform default unit of analysis and identical Effective exponent value, and methods described includes：Obtain the video resource that the user matched with default unit of analysis operated；The priority time sequencing operated according to user to the video resource is ranked up to the video resource；Whether operation of the detection user to each video resource after sequence successively is default effective operation；If so, then according to corresponding Effective exponent regulation rule is sequentially adjusted in the Effective exponent of the video resource respectively with effective operation.The present invention can effectively improve the accuracy of video recommendations.
Description
Technical field
The present invention relates to Information Technology Agreement field, more particularly to a kind of evaluation method and device of video resource.
Background technology
With the development of internet, " internet+education " gradually comes into vogue on teaching platform, and has fast development
The impetus.On internet platform, there are each side such as micro- class video of many, including study, culinary art, examination at present, micro- class 0 is regarded
The quantity of frequency also increases in the speed in geometry level.
In terms of student education, especially junior middle school or senior high school period, the knowledge point in a teaching material chapters and sections generally has multiple
Micro- class video is explained, and the video of these explanations is generally published in the Cooperative development platform in some cities and counties regions.But
The quality of this class video slightly is uneven, and student downloads or the online ropy micro- class video of direct viewing does not have not only and carried
Rise effect, it is also possible to be misled into.
Current some resource sharing platforms selection carries out manually evaluating or giving a mark to micro- class resource, so as to improve micro- class resource
Recommendation quality.But the time that this way expends is long, and marking has a larger subjectivity, the quality of micro- class resource recommendation and
Accuracy is not high.
The content of the invention
Based on this, it is necessary to which recommending the problem of accuracy is not high for video resource, there is provided a kind of evaluation of video resource
Method and apparatus.
A kind of evaluation method of video resource, each video resource is initialised when being uploaded to shared platform to be had
Default unit of analysis and identical Effective exponent value, methods described include：
Obtain the video resource that the user matched with default unit of analysis operated；
The priority time sequencing operated according to user to the video resource is ranked up to the video resource；
Whether operation of the detection user to each video resource after sequence successively is default effective operation；
If so, then according to corresponding Effective exponent regulation rule is sequentially adjusted in the video respectively with effective operation
The Effective exponent of resource.
In one of the embodiments, methods described also includes：
The user data associated with the video resource is collected, the user data includes user to the video resource
Predetermined registration operation, operating time, the coding of the corresponding video resource of operation and corresponding default point belonging to the video resource
Analyse unit.
In one of the embodiments, the default unit of analysis includes teaching material chapters and sections, knowledge point and knowledge special topic, institute
State and obtain the video resource that the user matched with default unit of analysis operated, including：
Obtain the video resource that the user matched with the teaching material chapters and sections, knowledge point or knowledge special topic operated.
In one of the embodiments, default effective operation has at least one, and methods described also includes：
If detecting user to when the operation of each video resource after sequence is default effective operation, it is determined that
The default effective operation corresponding to the operation of the video resource with user.
In one of the embodiments, the user operation of the video resource is included checking, collected, is quoted, under
Carry and thumb up, it is described it is default it is effective operation include collection, quote, download and thumb up, it is described successively detect user to sequence after
The operation of each video resource whether be default effective operation, including：
Whether operation of the detection user to each video resource after sequence successively is the collection, quotes, downloads
One in being operated with thumb up.
In one of the embodiments, it is described to distinguish corresponding Effective exponent regulation rule according to effective operation
The Effective exponent of the video resource is sequentially adjusted in, including：
Obtain and the plus-minus value for effectively operating the corresponding Effective exponent to the video resource to be adjusted：
The Effective exponent of the video resource is adjusted according to the plus-minus value.
A kind of evaluating apparatus of video resource, each video resource is initialised when being uploaded to shared platform to be had
Default unit of analysis and identical Effective exponent value, described device include：
Acquisition module, for obtaining the video resource that the user matched with default unit of analysis operated；
Order module, the priority time sequencing for being operated according to user to the video resource is provided to the video
Source is ranked up；
Detection module, for detecting whether operation of the user to each video resource after sequence is default successively
Effectively operation；
Adjusting module, is default effective for detecting operation of the user to the video resource in the detection module
During operation, then according to corresponding Effective exponent regulation rule is sequentially adjusted in the video resource respectively with effective operation
Effective exponent.
In one of the embodiments, described device also includes：
Collection module, for collecting the user data associated with the video resource, the user data includes user
To the predetermined registration operation of the video resource, operating time, the coding of the corresponding video resource of operation and the correspondence video resource
Affiliated default unit of analysis.
In one of the embodiments, described device also includes：
Determining module, for detecting operation of the user to each video resource after sequence in the detection module
During for default effective operation, it is determined that the default effective operation corresponding to the operation of the video resource with user.
In one of the embodiments, the adjusting module includes：
Acquiring unit, effectively operates the corresponding Effective exponent to the video resource to adjust for obtaining with described
Whole plus-minus value；
Adjustment unit, the Effective exponent for adjusting the video resource according to the plus-minus value.
The evaluation method and device of video resource described above, the video money that user operated is searched for according to unit of analysis
Source, then sorts video resource according to time order and function, when user to the operation of video resource for effective operation when, then adjustment should
The Effective exponent of video resource, thus, when user searches for video resource, video resource can be according to Effective exponent height
It is ranked up, and recommends user, so as to improves the accuracy of video recommendations.
Brief description of the drawings
Fig. 1 is the flow chart of the evaluation method of video resource；
Fig. 2 is the flow chart of the evaluation method of another video resource；
Fig. 3 is the structure chart of the evaluating apparatus of video resource；
Fig. 4 is the structure chart of the evaluating apparatus of another video resource.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Video shared platform includes that teaching platform, network platform of sharing video frequency of education video etc. can be shared；, this reality
Apply row shared platform as described below and be mainly used in teaching platform etc..
In the present embodiment, when video is uploaded to shared platform, it can be initialized in certain form.Specifically, every
Individual video is initialised when being uploaded to shared platform default unit of analysis and identical Effective exponent value.It is default
Unit of analysis includes teaching material chapters and sections, knowledge point and knowledge special topic etc., and here, the present embodiment is primarily directed to elementary education and height
Middle education, in these study stages, is typically imparted knowledge to students in the form of chapters and sections, knowledge point, knowledge special topic, can strengthen learning
The raw understanding to a certain knowledge point.It can also be the text such as document and paper, topic such as teaching notes/case.Unit of analysis can be with
According to application divided, title can also relative set, the present embodiment be only controlled according to unit of analysis handle video mistake
Journey, does not carry out absolute restriction with unit of analysis.Numerically, digital size represents corresponding video to Effective exponent
The compatible degree of resource and unit of analysis, it is bigger, then get over corresponding with the search needs of user, can be larger by Effective exponent
Video resource recommends user.
As shown in figure 1, the evaluation method of the video resource of the present embodiment includes step S120 to step S180.
Step S120, obtains the video resource that the user matched with default unit of analysis operated.
For the education video resource on teaching platform, the video resource of server is such as stored in, can be single according to analysis
Position search video resource, searches for obtained video resource and is necessarily matched with unit of analysis.Video resource can be user behaviour
Making or do not operated, the video resource that user operated refers to that user to the video resource check, and downloaded, drawn
With at least one in the operation such as, collection, thumb up.The video resource that user did not operated refers to that user never operated the video
Resource, the video resource is to be uploaded to shared platform.
Further, teaching material chapters and sections, knowledge point and knowledge special topic for being included according to default unit of analysis etc., the video of acquisition
Resource is the video resource that the user matched with teaching material chapters and sections, knowledge point or knowledge special topic operated.
Step S140, the priority time sequencing operated according to user to video resource is ranked up to video resource.
When user operates to video resource, shared platform can record operating time of the user to the video resource.Root
According to the operating time, video resource can be ranked up.Wherein, different or identical user is to similar and different a certain
Video resource possible operation is excessively multiple, and shared platform will record the corresponding operating time one by one, and in sequence, it is first according to the time
After be ranked up.
Step S160, detects whether operation of the user to each video resource after sequence is default effective behaviour successively
Make.
Operation of the user to video resource can be it is as described above check, download, quoting, collecting, thumb up etc. it is a variety of
Operation, but the operation of not all user influences whether the calculating of Effective exponent, it is only default effective to operate just meeting
Have influence on the calculating of Effective exponent.Wherein, default effective operation includes collection, quotes, downloads and thumb up, and detection successively is used
Whether operation of the family to each video resource after sequence is default effective operation, then detects user to every after sequence successively
Individual video resource operation whether be collection, references, download and thumb up operate in one.Detection user is to each video successively
Whether the operation of resource has default effective operation, more can accurately calculate Effective exponent.
Step S180, if so, then according to corresponding Effective exponent regulation rule is sequentially adjusted in regarding respectively with effectively operation
The Effective exponent of frequency resource.
Different effective operations Effective exponent regulation rule different to that should have.Herein, collect, quote, download and
Thumb up etc. operates the influence degree to user different, and it can be objectively to having to set different Effective exponent regulation rules
Effect sex index is adjusted, and lifts the accuracy of video recommendations.Specifically, step S180 includes step 181 and step S182.
Step S181, obtains the plus-minus value that the Effective exponent to video resource corresponding with effectively operating is adjusted.
Different effective operations Effective exponent regulation rule different to that should have, Effective exponent regulation rule is to having
The foundation that effect sex index is recalculated, it includes value added and decreasing value.Plus-minus value corresponding to different effective operations
It is different.
Step S182, the Effective exponent of video resource is adjusted according to plus-minus value.
The Effective exponent of the video resource is added into value added, and subtracted after decreasing value, the video after as adjusting
The Effective exponent of resource.
The evaluation method of video resource described above, searches for the video resource that user operated, then according to unit of analysis
Video resource is sorted according to time order and function, when user to the operation of video resource for effective operation when, then adjust video money
The Effective exponent in source, thus, when user searches for video resource, video resource can be arranged according to Effective exponent height
Sequence, and user is recommended, so as to improve the accuracy of video recommendations.
As shown in Fig. 2 the evaluation method of another video resource also includes step S110.
Step S110, collects the user data associated with video resource, and user data includes user to video resource
Default unit of analysis belonging to predetermined registration operation, operating time, the coding of the corresponding video resource of operation and correspondence video resource.
The server of shared platform can record user data when user operates to video resource, including user automatically
Title, login account, user type, temporal information, resource information (resource code, type etc.) and user are to video resource
Operation (operation as described above).These user data can be recorded in the server of platform.On video resource
Pass to after platform, can be allocated unique coding, moreover, according to the content of video resource, corresponding analysis can be endowed single
Position.
The user data collected according to step S110, you can further realize step S120 to step S180.
In the present embodiment, further, the behaviour of each video resource after user is detected to sequence by step S160
During as default effective operation, it is determined that the default effective operation corresponding to the operation of video resource with user.For example,
When it is down operation to detect operation of the user to video resource, it is determined that it is default down operation.
The present embodiment forges procedure below and the present embodiment is described further.The present embodiment is preferred, in video resource
When being uploaded to shared platform, each video resource Jun Chi assign identical Effective exponent 0.5.Wherein, Effective exponent is situated between
Between 0 to 1, required with meeting normalization, more precisely recommend video resource.For effective operation of user, including draw
With, collection, download and thumb up, it is Jia 0.1 to subtract 0.03 to set corresponding with referencing operation Effective exponent regulation rule, with download
Operate corresponding Effective exponent regulation rule and subtract 0.02 Jia 0.08, Effective exponent regulation rule corresponding with thumb up operation
Subtract 0.01 to add 0.05.When user operates to the operation of a certain video resource for validity, such as download, then obtain and down operation
Corresponding Effective exponent regulation rule, i.e., Jia 0.08 subtracts 0.02, using the Effective exponent of the last time video resource as radix, will
The Effective exponent adds 0.08 and subtracts 0.02, the Effective exponent formed after adjustment.
When user is searching for video resource, the content such as keyword inputted according to user can be analyzed and inputted with user
The corresponding unit of analysis of content, then, corresponding video resource is searched for according to unit of analysis, and video resource is according to effective
Sex index to small order arrangement from being shown in screen greatly.So, with the accumulation of resource platform data, good resource meeting
Used by more people, evaluation is become better and better, imperfect resource will progressively sink to the corner that nobody uses, promote study money
The evolution that source is built.Meanwhile, evaluation procedure only needs to sequencing execution, without manual intervention, is based entirely on user behavior data
Analysis result show that save time human-saving.
As shown in figure 3, the evaluating apparatus of the video resource of the present embodiment includes acquisition module 120, order module 140, inspection
Survey module 160 and adjusting module 180.
Acquisition module 120 is used to obtain the video resource that the user matched with default unit of analysis operated.
For the education video resource on teaching platform, the video resource of server is such as stored in, can be single according to analysis
Position search video resource, searches for obtained video resource and is necessarily matched with unit of analysis.Video resource can be user behaviour
Making or do not operated, the video resource that user operated refers to that user to the video resource check, and downloaded, drawn
With at least one in the operation such as, collection, thumb up.The video resource that user did not operated refers to that user never operated the video
Resource, the video resource is to be uploaded to shared platform.
Further, teaching material chapters and sections, knowledge point and knowledge special topic for being included according to default unit of analysis etc., the video of acquisition
Resource is the video resource that the user matched with teaching material chapters and sections, knowledge point or knowledge special topic operated.
The priority time sequencing that order module 140 is used to operate video resource according to user is carried out to video resource
Sequence.
When user operates to video resource, shared platform can record operating time of the user to the video resource.Root
According to the operating time, video resource can be ranked up.Wherein, different or identical user is to similar and different a certain
Video resource possible operation is excessively multiple, and shared platform will record the corresponding operating time one by one, and in sequence, it is first according to the time
After be ranked up.
Detection module 160 is used for whether detection user successively to be default to have to the operation of each video resource after sequence
Effect operation.
Operation of the user to video resource can be it is as described above check, download, quoting, collecting, thumb up etc. it is a variety of
Operation, but the operation of not all user influences whether the calculating of Effective exponent, it is only default effective to operate just meeting
Have influence on the calculating of Effective exponent.Wherein, default effective operation includes collection, quotes, downloads and thumb up, and detection successively is used
Whether operation of the family to each video resource after sequence is default effective operation, then detects user to every after sequence successively
Individual video resource operation whether be collection, references, download and thumb up operate in one.Detection user is to each video successively
Whether the operation of resource has default effective operation, more can accurately calculate Effective exponent.
It is default effective operation that adjusting module 180, which is used to detect operation of the user to video resource in detection module,
When, then according to corresponding Effective exponent regulation rule is sequentially adjusted in the Effective exponent of video resource respectively with effectively operation.
Different effective operations Effective exponent regulation rule different to that should have.Herein, collect, quote, download and
Thumb up etc. operates the influence degree to user different, and it can be objectively to having to set different Effective exponent regulation rules
Effect sex index is adjusted, and lifts the accuracy of video recommendations.Specifically, adjusting module 180 includes acquiring unit 181 and adjustment
Unit 182.
Acquiring unit 181 is for adding that the acquisition Effective exponent to video resource corresponding with effectively operating is adjusted
Depreciation.
Different effective operations Effective exponent regulation rule different to that should have, Effective exponent regulation rule is to having
The foundation that effect sex index is recalculated, it includes value added and decreasing value.Plus-minus value corresponding to different effective operations
It is different.
Adjustment unit 182 is used for the Effective exponent that video resource is adjusted according to plus-minus value.
The Effective exponent of the video resource is added into value added, and subtracted after decreasing value, the video after as adjusting
The Effective exponent of resource.
The evaluating apparatus of video resource described above, searches for the video resource that user operated, then according to unit of analysis
Video resource is sorted according to time order and function, when user to the operation of video resource for effective operation when, then adjust video money
The Effective exponent in source, thus, when user searches for video resource, video resource can be arranged according to Effective exponent height
Sequence, and user is recommended, so as to improve the accuracy of video recommendations.
As shown in figure 4, the evaluating apparatus of another video resource also includes collection module 110.
Collection module 110 is used to collect the user data associated with video resource, and user data includes user to video
Default point belonging to predetermined registration operation, operating time, the coding of the corresponding video resource of operation and the correspondence video resource of resource
Analyse unit.
The server of shared platform can record user data when user operates to video resource, including user automatically
Title, login account, user type, temporal information, resource information (resource code, type etc.) and user are to video resource
Operation (operation as described above).These user data can be recorded in the server of platform.On video resource
Pass to after platform, can be allocated unique coding, moreover, according to the content of video resource, corresponding analysis can be endowed single
Position.
In the present embodiment, described device also includes determining module, for detecting user to each video after sequence
When the operation of resource is default effective operation, it is determined that the default effective behaviour corresponding to the operation of video resource with user
Make.For example, when it is down operation to detect operation of the user to video resource, it is determined that it is default down operation.
The present embodiment forges procedure below and the present embodiment is described further.The present embodiment is preferred, in video resource
When being uploaded to shared platform, each video resource Jun Chi assign identical Effective exponent 0.5.Wherein, Effective exponent is situated between
Between 0 to 1, required with meeting normalization, more precisely recommend video resource.For effective operation of user, including draw
With, collection, download and thumb up, it is Jia 0.1 to subtract 0.03 to set corresponding with referencing operation Effective exponent regulation rule, with download
Operate corresponding Effective exponent regulation rule and subtract 0.02 Jia 0.08, Effective exponent regulation rule corresponding with thumb up operation
Subtract 0.01 to add 0.05.When user operates to the operation of a certain video resource for validity, such as download, then obtain and down operation
Corresponding Effective exponent regulation rule, i.e., Jia 0.08 subtracts 0.02, using the Effective exponent of the last time video resource as radix, will
The Effective exponent adds 0.08 and subtracts 0.02, the Effective exponent formed after adjustment.
When user is searching for video resource, the content such as keyword inputted according to user can be analyzed and inputted with user
The corresponding unit of analysis of content, then, corresponding video resource is searched for according to unit of analysis, and video resource is according to effective
Sex index to small order arrangement from being shown in screen greatly.So, with the accumulation of resource platform data, good resource meeting
Used by more people, evaluation is become better and better, imperfect resource will progressively sink to the corner that nobody uses, promote study money
The evolution that source is built.Meanwhile, evaluation procedure only needs to sequencing execution, without manual intervention, is based entirely on user behavior data
Analysis result show that save time human-saving.
Each technical characteristic of embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned reality
Apply all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, the scope of this specification record is all considered to be.
Embodiment described above only expresses the several embodiments of the present invention, and it describes more specific and detailed, but simultaneously
Can not therefore it be construed as limiting the scope of the patent.It should be pointed out that coming for one of ordinary skill in the art
Say, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention
Scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of evaluation method of video resource, it is characterised in that each video resource is uploaded to equal during shared platform
Being initialised has default unit of analysis and identical Effective exponent value, and methods described includes：
Obtain the video resource that the user matched with default unit of analysis operated；
The priority time sequencing operated according to user to the video resource is ranked up to the video resource；
Whether operation of the detection user to each video resource after sequence successively is default effective operation；
If so, then according to corresponding Effective exponent regulation rule is sequentially adjusted in the video resource respectively with effective operation
Effective exponent.
2. according to the method described in claim 1, it is characterised in that methods described also includes：
The user data associated with the video resource is collected, the user data includes user to the pre- of the video resource
If the default analysis list belonging to operation, operating time, the coding of the corresponding video resource of operation and the correspondence video resource
Position.
3. according to the method described in claim 1, it is characterised in that the default unit of analysis includes teaching material chapters and sections, knowledge
Point and knowledge special topic, the video resource that the acquisition was operated with the user that default unit of analysis matches, including：
Obtain the video resource that the user matched with the teaching material chapters and sections, knowledge point or knowledge special topic operated.
4. according to the method described in claim 1, it is characterised in that default effective operation has at least one, described
Method also includes：
If detecting user to when the operation of each video resource after sequence is default effective operation, it is determined that with
The corresponding default effective operation of operation of the family to the video resource.
5. the method according to claim any one of 1-4, it is characterised in that operation of the user to the video resource
Including checking, collecting, quote, download and thumb up, default effective operation include collection, quote, download and thumb up, it is described
Whether operation of the detection user to each video resource after sequence successively is default effective operation, including：
Whether operation of the detection user to each video resource after sequence successively is the collection, quotes, downloads and point
Praise one in operation.
6. method according to claim 5, it is characterised in that described according to corresponding effective respectively with effective operation
Sex index regulation rule is sequentially adjusted in the Effective exponent of the video resource, including：
Obtain and the plus-minus value for effectively operating the corresponding Effective exponent to the video resource to be adjusted；
The Effective exponent of the video resource is adjusted according to the plus-minus value.
7. a kind of evaluating apparatus of video resource, it is characterised in that each video resource is uploaded to equal during shared platform
Being initialised has default unit of analysis and identical Effective exponent value, and described device includes：
Acquisition module, for obtaining the video resource that the user matched with default unit of analysis operated；
Order module, the priority time sequencing for being operated according to user to the video resource is entered to the video resource
Row sequence；
Detection module, for detecting whether operation of the user to each video resource after sequence is default effective successively
Operation；
Adjusting module, is default effective operation for detecting operation of the user to the video resource in the detection module
When, then according to corresponding Effective exponent regulation rule is sequentially adjusted in the effective of the video resource respectively with effective operation
Sex index.
8. device according to claim 7, it is characterised in that described device also includes：
Collection module, for collecting the user data associated with the video resource, the user data includes user to institute
State belonging to predetermined registration operation, operating time, the coding of the corresponding video resource of operation and the correspondence video resource of video resource
Default unit of analysis.
9. the device according to claim 7 or 8, it is characterised in that described device also includes：
Determining module, is pre- for detecting operation of the user to each video resource after sequence in the detection module
If effective operation when, it is determined that the default effective operation corresponding to the operation of the video resource with user.
10. device according to claim 7, it is characterised in that the adjusting module includes：
Acquiring unit, effectively operates what the corresponding Effective exponent to the video resource was adjusted for obtaining with described
Plus-minus value；
Adjustment unit, the Effective exponent for adjusting the video resource according to the plus-minus value.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101764661A (en) * | 2008-12-23 | 2010-06-30 | 未序网络科技（上海）有限公司 | Data fusion based video program recommendation system |
| CN102957950A (en) * | 2012-07-23 | 2013-03-06 | 华东师范大学 | User implicit rating method for recommending video |
| CN103260050A (en) * | 2013-04-09 | 2013-08-21 | 同济大学 | Video-on-demand system based on Google App Engine Cloud platform |
| CN104935963A (en) * | 2015-05-29 | 2015-09-23 | 中国科学院信息工程研究所 | Video recommendation method based on timing sequence data mining |
| CN105792000A (en) * | 2014-12-23 | 2016-07-20 | 北京数码视讯科技股份有限公司 | Video recommendation method and device |
-
2017
- 2017-05-24 CN CN201710371975.9A patent/CN107220329B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101764661A (en) * | 2008-12-23 | 2010-06-30 | 未序网络科技（上海）有限公司 | Data fusion based video program recommendation system |
| CN102957950A (en) * | 2012-07-23 | 2013-03-06 | 华东师范大学 | User implicit rating method for recommending video |
| CN103260050A (en) * | 2013-04-09 | 2013-08-21 | 同济大学 | Video-on-demand system based on Google App Engine Cloud platform |
| CN105792000A (en) * | 2014-12-23 | 2016-07-20 | 北京数码视讯科技股份有限公司 | Video recommendation method and device |
| CN104935963A (en) * | 2015-05-29 | 2015-09-23 | 中国科学院信息工程研究所 | Video recommendation method based on timing sequence data mining |
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