CN106231428A - A kind of video recommendation method and device - Google Patents
A kind of video recommendation method and device Download PDFInfo
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- CN106231428A CN106231428A CN201610617864.7A CN201610617864A CN106231428A CN 106231428 A CN106231428 A CN 106231428A CN 201610617864 A CN201610617864 A CN 201610617864A CN 106231428 A CN106231428 A CN 106231428A
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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
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The embodiment of the invention discloses a kind of video recommendation method and device, wherein, described method includes: obtain the barrage information of user；Choose the video relevant to described barrage information and recommend user.Recommendation video can be chosen exactly according to barrage information, improve the accuracy rate recommending video, strengthen user's viscosity.
Description
Technical field
The present invention relates to video services technology field, particularly relate to a kind of video recommendation method and device.
Background technology
Flourish along with Online Video technology, carries out associated video for user and recommends obtaining more and more extensively and deep
The application entered.At present, video is recommended mainly to have following two mode by user: one is that the search inputted according to user is crucial
Word, whether the term submitted to according to user mates with title or the summary of video, determines that the video of coupling is recommended to user.
Two is the video that record user is watched, according to the hobby tendency of the video conjecture user that user is watched, and according to conjecture
Hobby tendency user recommends akin video.
Although above two mode is capable of recommending the purpose of video to user, but in realizing process of the present invention,
Inventor finds that in prior art, at least there are the following problems: in first kind of way the title of video and summary be by user or
The content of introducing that website maintenance personnel arrange according to personal view is the summary description to video file content, can not be complete
Reaction video full content.Mating completely, additionally, the method also relies on user of term and video can not be accomplished
The search key word of input, if the key word that user does not input key word or input is wrong, then then cannot realize standard
Really recommend video to user.Although the second way is manually entered key word without user, but the video watched user
In record, both included the video that user carefully watches, also included the video that user simply browses.Guessed according to viewing record
Hobby tendency may there is bigger error, cause recommend video hit rate relatively low.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of video recommendation method and device, to solve of the prior art pushing away
Recommend the technical problem that video accuracy rate is low.
First aspect, embodiments provides a kind of video recommendation method, including:
Obtain the barrage information of user；
In choose the video relevant to described barrage information and recommend user.
Second aspect, the embodiment of the present invention additionally provides a kind of video recommendations device, including:
Barrage data obtaining module, for obtaining the barrage information of user；
Recommending module, for choosing the video relevant to described barrage information and recommending user.
The video recommendation method of embodiment of the present invention offer and device, by obtaining the barrage information of user's input, and to
User recommends the video relevant to barrage information, can choose recommendation video exactly according to barrage information, improve recommendation and regard
The accuracy rate of frequency, strengthens user's viscosity.
Accompanying drawing explanation
By the detailed description that non-limiting example is made made with reference to the following drawings of reading, other of the present invention
Feature, purpose and advantage will become more apparent upon:
Fig. 1 is the schematic flow sheet of the video recommendation method that the embodiment of the present invention one provides；
Fig. 2 is the schematic flow sheet of the video recommendation method that the embodiment of the present invention two provides；
Fig. 3 is the schematic flow sheet of the video recommendation method that the embodiment of the present invention three provides；
Fig. 4 is the schematic flow sheet of the video recommendation method that the embodiment of the present invention four provides；
Fig. 5 is the schematic flow sheet of the video recommendation method that the embodiment of the present invention five provides；
Fig. 6 is the structural representation of the video recommendations device of the offer of the embodiment of the present invention six.
Detailed description of the invention
The present invention is described in further detail with embodiment below in conjunction with the accompanying drawings.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just
Part related to the present invention is illustrate only rather than full content in description, accompanying drawing.
Embodiment one
The schematic flow sheet of the video recommendation method that Fig. 1 provides for the embodiment of the present invention one, the present embodiment is applicable to
Recommend the situation of video in video website or Video Applications to user, the method can be performed by video recommendations device, should
Device can be realized by software/hardware mode, and can be integrated in video website or video application server.
Wherein, video website or video application server include: (Microsoft develops to be provided with Windows Server
The operating system platform for server), MacOS X Server (Apple exploitation the operating system for server
Platform), the server of the operating system such as the AIX operating system platform for server of exploitation (IBM Corporation), this server can
To be any one in desk-top server, rack-mount server etc., this server can include central processing unit, storage
Combination in any in device, switching device, power supply, clock signal generators, image processor, Sound Processor Unit etc., above-mentioned central authorities
In processor, memorizer, switching device, power supply, clock signal generators, image processor, Sound Processor Unit etc. any group
Share the function in the video recommendation method realizing embodiments of the invention and video recommendations device.
Seeing Fig. 1, the video recommendation method of the present embodiment comprises the steps:
S110, obtains the barrage information of user.
Barrage refers to the comment being directly apparent on video, can go out to roll, to stop even more many actions Special effects mode
Now on video, it it is the brief comment of people's transmission of viewing video.At present, video website and Video Applications have opened this merit mostly
Can, it is allowed to viewing video person make comments or thoughts, but show with ordinary video sharing website special comment district under player
Showing difference, it can occur on video pictures in the way of slip captions in real time, it is ensured that all beholders can notice, thus
Realize the interaction between beholder, it might even be possible to express the commendation to works or criticism together, increase viewing enjoyment.Due to barrage more
Adding the exchange focused between beholder, compared with traditional video comments, beholder is more ready delivering video actively
Suggestion.Also it is easier to collect the review information of user.
In the present embodiment, video website or video application server can determine use according to the log-on message of user
Family ID, and obtain, by barrage record, the barrage information that this user is delivered, exemplary, barrage information includes: issue barrage
Video, issue the content of barrage, issue the number of times of barrage and at least in video playback time corresponding to barrage of issue
Kind.I.e. user issues the video of barrage correspondence viewing, issues the comment content of barrage, and the barrage number of times to each video distribution
With video playback time during issue barrage.
S120, chooses the video relevant to described barrage information and recommends user.
Concrete, video website or video application server generally have substantial amounts of video and watch for user's program request,
Generally these videos are stored as the form of a data base.In the present embodiment, can be by obtaining in data base
The barrage information taken selects the video relevant to these barrage information to recommend to user.Exemplary, issue bullet according to user
The classification of type of the video of the corresponding viewing of curtain, choose in video library the video of the video same type classification corresponding with barrage to
User recommends.Exemplary, can video-see webpage or video name that the avris display of Video Applications is recommended and
Thumbnail, so that user can note and watch recommendation video.
The present embodiment provide video recommendation method, by obtain user input barrage information, and to user recommend with
The video that barrage information is relevant, can choose recommendation video exactly according to barrage information, improves the accuracy rate recommending video,
Enhance user's viscosity.
Embodiment two
The schematic flow sheet of the video recommendation method that Fig. 2 provides for the embodiment of the present invention two.The present embodiment is with above-mentioned enforcement
Based on example, in the present embodiment, choose the video relevant to described barrage information described in and recommend user and may include that root
Determine that user video likes key word according to described barrage information；Key word selecting video from video library is liked according to described video
Recommend user.
Accordingly, the video recommendation method that the present embodiment is provided includes:
S210, obtains the barrage information of user.
According to barrage information, S220, determines that user video likes key word.
According to the barrage information of user, the present embodiment can determine that user watches the hobby of video.The happiness of described viewing video
It can be well user's video type of liking and having that bigger interest is watched.Such as user likes watching the video of animation type,
Then this user watches the hobby of video is animation.The hobby of these viewing videos can be in the way of user video hobby key word
Express.Video hobby key word may include that at least one in type, subject matter, scene and creator.Wherein, type is permissible
For: feature film, animation and documentary film etc., subject matter can be horror film, feature film and biographical film etc.；Scene can be: war, all
City, rural area etc.；Creator can be then: video uploader, video are produced country, video production company, director and performer etc..Show
Example, user likes watching the video of animation type, then animation just can like key word as video.Video hobby key word
Can be with more than one, such as, user likes watching Japan's animation video, then can be by Japan and animation simultaneously as this user's
Video hobby key word.
S230, recommends user according to described video hobby key word selecting video from video library.
Exemplary, based on video hobby key word determined by S220, carry out in video library as search key word
Search, select and the video of this video hobby Keywords matching, and the video of coupling is recommended to user.
According to barrage information, the present embodiment determines that user video likes key word；According to described video hobby key word from regarding
Frequently in storehouse, selecting video is recommended to user.Can determine that user watches the hobby of video according to barrage information, and pass through key word
Suitable video can be chosen exactly from data base recommend to user, improve the accuracy recommending video.
In an optional embodiment of the present embodiment, described method also includes: sets up for the video in video library and closes
Keyword indexes.Wherein, may include that choose from video library according to described video hobby key word selecting video from video library
Keyword index likes the video of Keywords matching with described video.
User or website maintenance personnel according to video file content, can generate the summary description of video content, service
Device can set up keyword index according to these brief overviews.Such as, " mad animal city " can be generated following key word rope
Draw: animation, risk, Disney and the U.S. etc..The selecting video hobby video that mates with the keyword index of video of key word to
User recommends.
Embodiment three
The schematic flow sheet of the video recommendation method that Fig. 3 provides for the embodiment of the present invention three.The present embodiment is with above-mentioned enforcement
Based on example, in the present embodiment, described from video library, choose the video relevant to described barrage information may include that basis
Issue the video playback time corresponding to barrage, obtain barrage video playback scene；Choose from video library and include regarding with described
The video of the scene that frequency plays Scene Blur coupling is recommended to user.
Accordingly, the video recommendation method that the present embodiment is provided specifically includes:
S310, obtains the barrage information of user.
S320, according to the video playback time issued corresponding to barrage, obtains barrage video playback scene.
User is when delivering barrage, it is common that the scene for the period a certain in video is interested, and enters based on this scene
Row comment, it is achieved carry out interaction with other user, obtain the sympathetic response of the user identical with its viewpoint.Therefore, according to user
The video playback time corresponding to barrage of issuing may determine that the video scene that user is interested.And can be right according to issuing barrage institute
The video playback time answered, obtain barrage video playback scene.Exemplary, when searching the broadcasting of the video that user issues barrage
Between, search, according to reproduction time, the video frame image that reproduction time is corresponding, intercept this two field picture, i.e. barrage video playback scene.
S330, chooses from video library and includes that the video of the scene mated with described video playback Scene Blur pushes away to user
Recommend.
Keyword index can set up for the video in video library, key frame index can also set up for video simultaneously,
Key frame index can be the multiple image of Highlights in video, the barrage video playback scene of acquisition is regarded in video library
The key frame index of frequency carries out image blurring coupling, and the video choosing fuzzy matching is recommended to user.Exemplary, image blurring
Coupling can use the sift algorithm of morphology matrix to realize.
The present embodiment, according to the video playback time issued corresponding to barrage, obtains barrage video playback scene；From video
Storehouse is chosen and includes that the video of the scene mated with described video playback Scene Blur is recommended to user.Can be by issuing barrage
The corresponding video playback time, obtain the video scene of user preferences, and recommend video based on video scene to user, permissible
Improve the accuracy determining user preferences scene.
Embodiment four
The schematic flow sheet of the video recommendation method that Fig. 4 provides for the embodiment of the present invention four.The present embodiment is with above-mentioned enforcement
Based on example, in the present embodiment, determine that user video hobby key word may include that according to issuing barrage according to barrage information
Video or issue barrage number of times, determine the hobby video of user；Keyword index according to described hobby video determines user
Video hobby key word.
Accordingly, the video recommendation method that the present embodiment is provided specifically includes:
S410, obtains the barrage information of user.
S420, according to issuing the video of barrage or issuing barrage number of times, determines the hobby video of user.
User, when the video of viewing hobby, can issue the video of barrage, it is achieved carry out interaction with other user, obtain
Take the sympathetic response of the user identical with its viewpoint.For the video that fancy grade is higher, user also can send barrage frequently, expresses
Impression and understanding to video.In the present embodiment, according to issuing the video of barrage or barrage number of times can be issued, determine user
Hobby video.Exemplary, user can be filtered out and issue the video of barrage, and user was issued the video of barrage as
The hobby video of user.Additionally, send the number of times of barrage on same video also dependent on user to determine the hobby video of user.
Exemplary, a barrage threshold value can be preset, exceed default when user sends the number of times of barrage on same video
During barrage threshold value, this video is the hobby video of user.
According to the keyword index of described hobby video, S430, determines that video likes key word.
Video in video library all has keyword index, exemplary, can be by the hobby video of the user that determines
Keyword index likes key word as the video of this user.
S440, the video choosing keyword index and described video hobby Keywords matching from video library pushes away to user
Send.
The present embodiment, according to issuing the video of barrage or issuing barrage number of times, determines the hobby video of user；According to described
The keyword index of hobby video determines that user video likes key word.The video of barrage can be issued according to user and determine user
Hobby video, and determine that video likes key word according to the video issuing barrage, can improve and obtain video hobby key word
Accuracy.
Embodiment five
The schematic flow sheet of the video recommendation method that Fig. 5 provides for the embodiment of the present invention five.The present embodiment is with above-mentioned enforcement
Based on example, in the present embodiment, determine that user video hobby key word may include that from issuing barrage according to barrage information
Contents extraction user video hobby key word.
Accordingly, the video recommendation method that the present embodiment is provided, specifically include:
S510, obtains the barrage information of user.
S520, from the contents extraction video hobby key word issuing barrage.
In the barrage content that user is issued, some is the comment for video content, and such as comment performer drills
Skill, the comment of subject matter and significant plot etc..These comments can embody user and watch the starting point of video, it is also possible to
Regard user as and watch the aspect that video notes.These comments substantially embody user and watch the hobby of video, based on issuing bullet
The comment content of curtain may determine that the hobby video of user.In the present embodiment, can be from the content of the barrage of user's issue
Extract user video hobby key word.Exemplary, if the barrage content that user issues includes the name of performer, the most permissible
Using the name of this performer as this user video like key word；Or the barrage content that user issues includes certain history
Event, then using this historical events as this user video like key word.
S530, chooses the keyword index video with described Keywords matching to user's propelling movement from video library.
The present embodiment is from the contents extraction user video hobby key word issuing barrage.Can be according to the content issuing barrage
Determine hobby key word, the scope of user video hobby key word can be increased, and acquisition video hobby key word can be improved
Accuracy.
Embodiment six
Fig. 6 is the structural representation of the video recommendations device that the embodiment of the present invention six provides, as shown in Figure 6, described device
Including:
Barrage data obtaining module 610, for obtaining the barrage information of user；
Recommending module 620, for choosing the video recommendations relevant to described barrage information to user.
The video recommendations device that the embodiment of the present invention provides, by obtaining the barrage information of user's input, and pushes away to user
Recommend the video relevant to barrage information, recommendation video can be chosen exactly according to barrage information, improve the standard recommending video
Really rate, strengthens user's viscosity.
On the basis of the various embodiments described above, described barrage information include following at least one: issue barrage video, send out
The content of cloth barrage, the number of times issuing barrage and issue video playback time corresponding to barrage.
On the basis of the various embodiments described above, described recommending module, including:
Video hobby key word determines unit, for determining that user video likes key word according to described barrage information；
Recommendation unit, for according to described video hobby key word selecting video recommend user from video library.
On the basis of the various embodiments described above, described video hobby key word includes: type, subject matter, scene and creator
In at least one.
On the basis of the various embodiments described above, described device also includes:
Module set up in index, for setting up keyword index for the video in video library；
Described recommendation unit, is used for:
The video of keyword index and described video hobby Keywords matching is chosen from video library.
On the basis of the various embodiments described above, described recommending module is used for:
From the contents extraction video hobby key word issuing barrage；And/or
According to the video playback time issued corresponding to barrage, obtain barrage video playback scene；
The video of scene including mating is chosen with described video playback Scene Blur from video library.
On the basis of the various embodiments described above, described video hobby key word determine unit for:
According to issuing the video of barrage or issuing barrage number of times, determine the hobby video of user；
Keyword index according to described hobby video determines that user video likes key word.
Video recommendations device in above-described embodiment can perform the video recommendation method that the embodiment of the present invention is provided, and possesses
The corresponding functional module of execution method and beneficial effect.
Obviously, it will be understood by those skilled in the art that each module or each operation of the above-mentioned present invention can be by as above
Described server apparatus is implemented.Alternatively, the embodiment of the present invention can realize by the executable program of computer installation, from
And can be stored in storage device being performed by processor, described program can be stored in a kind of computer-readable
In storage medium, storage medium mentioned above can be read only memory, disk or CD etc.；Or they are made respectively
Become each integrated circuit modules, or the multiple modules in them or operation are fabricated to single integrated circuit module realize.
So, the present invention is not restricted to the combination of any specific hardware and software.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious change,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although by above example, the present invention is carried out
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
Other Equivalent embodiments more can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (14)
1. a video recommendation method, it is characterised in that described method includes:
Obtain the barrage information of user；
Choose the video relevant to described barrage information and recommend user.
Method the most according to claim 1, it is characterised in that described barrage information include following at least one: issue bullet
The video of curtain, the content of issue barrage, the number of times issuing barrage and issue video playback time corresponding to barrage.
Method the most according to claim 1 and 2, it is characterised in that described in choose the video relevant to described barrage information
And recommend user, including:
Determine that video likes key word according to described barrage information；
According to described video hobby key word selecting video recommend user from video library.
Method the most according to claim 3, it is characterised in that described video hobby key word include following at least one:
Type, subject matter, scene and creator.
Method the most according to claim 3, it is characterised in that described method also includes:
Keyword index is set up for the video in video library；
Described according to described video like key word selecting video from video library, including:
The video of keyword index and described video hobby Keywords matching is chosen from video library.
Method the most according to claim 5, it is characterised in that described according to barrage information determine video like key word bag
Include:
From the contents extraction video hobby key word issuing barrage；And/or
According to issuing the video of barrage or issuing barrage number of times, determine the hobby video of user；
Keyword index according to described hobby video determines that video likes key word.
Method the most according to claim 2, it is characterised in that described in choose the video relevant to described barrage information, bag
Include:
According to the video playback time issued corresponding to barrage, obtain video playback scene；
The video of scene including mating is chosen with described video playback Scene Blur from video library.
8. a video recommendations device, it is characterised in that including:
Barrage data obtaining module, for obtaining the barrage information of user；
Recommending module, for choosing the video relevant to described barrage information and recommending user.
Device the most according to claim 8, it is characterised in that described barrage information include following at least one: issue bullet
The video of curtain, the content of issue barrage, the number of times issuing barrage and issue video playback time corresponding to barrage.
Device the most according to claim 8 or claim 9, it is characterised in that described recommending module, including:
Video hobby key word determines unit, for determining that video likes key word according to described barrage information；
Recommendation unit, for according to described video hobby key word selecting video recommend user from video library.
11. devices according to claim 10, it is characterised in that described video hobby key word includes following at least one
Kind: type, subject matter, scene and creator.
12. devices according to claim 10, it is characterised in that also include:
Module set up in index, for setting up keyword index for the video in video library；
Described recommendation unit, is used for: choose the video of keyword index and described video hobby Keywords matching from video library.
13. devices according to claim 12, it is characterised in that described video hobby key word determine unit for:
From the contents extraction video hobby key word issuing barrage；And/or
According to issuing the video of barrage or issuing barrage number of times, determine the hobby video of user；
Keyword index according to described hobby video determines that video likes key word.
14. devices according to claim 9, it is characterised in that described recommending module is used for:
According to the video playback time issued corresponding to barrage, obtain barrage video playback scene；
The video of scene including mating is chosen with described video playback Scene Blur from video library.
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| CN201610617864.7A CN106231428A (en) | 2016-07-29 | 2016-07-29 | A kind of video recommendation method and device |
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| CN107592578A (en) * | 2017-09-22 | 2018-01-16 | 广东欧珀移动通信有限公司 | Information processing method, device, terminal device and storage medium |
| CN107613392A (en) * | 2017-09-22 | 2018-01-19 | 广东欧珀移动通信有限公司 | Information processing method, device, terminal device and storage medium |
| CN111147886A (en) * | 2020-01-06 | 2020-05-12 | 郑红 | Multimedia file playing processing method and device |
| CN111368204A (en) * | 2020-03-09 | 2020-07-03 | 北京字节跳动网络技术有限公司 | Content pushing method and device, electronic equipment and computer readable medium |
| CN111708901A (en) * | 2020-06-19 | 2020-09-25 | 腾讯科技（深圳）有限公司 | Multimedia resource recommendation method and device, electronic equipment and storage medium |
| WO2021052041A1 (en) * | 2019-09-20 | 2021-03-25 | 北京字节跳动网络技术有限公司 | Video pushing method and apparatus based on video search, and electronic device |
| CN113704553A (en) * | 2020-05-22 | 2021-11-26 | 上海哔哩哔哩科技有限公司 | Video view finding push method and system |
| CN113766281A (en) * | 2021-09-10 | 2021-12-07 | 北京快来文化传播集团有限公司 | Short video recommendation method, electronic device and computer-readable storage medium |
| CN117033673A (en) * | 2023-05-16 | 2023-11-10 | 广州比地数据科技有限公司 | Multimedia content extraction system based on artificial intelligence |
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| CN111147886B (en) * | 2020-01-06 | 2021-12-03 | 深圳市超维互动科技有限公司 | Multimedia file playing processing method and device |
| CN111147886A (en) * | 2020-01-06 | 2020-05-12 | 郑红 | Multimedia file playing processing method and device |
| CN111368204A (en) * | 2020-03-09 | 2020-07-03 | 北京字节跳动网络技术有限公司 | Content pushing method and device, electronic equipment and computer readable medium |
| CN113704553A (en) * | 2020-05-22 | 2021-11-26 | 上海哔哩哔哩科技有限公司 | Video view finding push method and system |
| CN113704553B (en) * | 2020-05-22 | 2024-04-16 | 上海哔哩哔哩科技有限公司 | Video view finding place pushing method and system |
| CN111708901B (en) * | 2020-06-19 | 2023-10-13 | 腾讯科技（深圳）有限公司 | Multimedia resource recommendation method and device, electronic equipment and storage medium |
| CN111708901A (en) * | 2020-06-19 | 2020-09-25 | 腾讯科技（深圳）有限公司 | Multimedia resource recommendation method and device, electronic equipment and storage medium |
| CN113766281A (en) * | 2021-09-10 | 2021-12-07 | 北京快来文化传播集团有限公司 | Short video recommendation method, electronic device and computer-readable storage medium |
| CN117033673A (en) * | 2023-05-16 | 2023-11-10 | 广州比地数据科技有限公司 | Multimedia content extraction system based on artificial intelligence |
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