CN105898411A - Video recommendation method and system and server - Google Patents
Video recommendation method and system and server Download PDFInfo
- Publication number
- CN105898411A CN105898411A CN201510937425.XA CN201510937425A CN105898411A CN 105898411 A CN105898411 A CN 105898411A CN 201510937425 A CN201510937425 A CN 201510937425A CN 105898411 A CN105898411 A CN 105898411A
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- user
- video
- mood
- weather
- server
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Classifications
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25808—Management of client data
- H04N21/25841—Management of client data involving the geographical location of the client
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
-
- 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
- H04N21/4508—Management of client data or end-user data
- H04N21/4524—Management of client data or end-user data involving the geographical location of the client
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Graphics (AREA)
- Computing Systems (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a video recommendation method and system and a server, and relates to the field of network videos. The method comprises that the weather of a location of a user and/or mood of the user are obtained; and a video is recommended to the user according to the weather and/or mood. According to the invention, the weather of the location of the user and/or the mood of the user are obtained to recommend the video related to the present weather or mood to the user, so that video content watched by the user accords with the mood of the user or the present weather, and the video watching experience of the user is improved.
Description
Technical field
The present invention relates to Internet video, in particular it relates to a kind of video recommendation method, system and server.
Background technology
In prior art, for video content, server can record to client according to browsing of user
The video that propelling movement user may like is to attract user to click on or viewing, but only considers what user browsed
Record or hobby recommend video to be not met by the demand of user to user, or can not bring client
The most pleasantly surprised.Such as only by prior art to user's pushing video, user may will not be made to have
The video that chance contact is relevant with user's oneself state or current environment.It is therefore desirable to consider more because of
Usually recommend video to user.
Summary of the invention
It is an object of the invention to provide a kind of video recommendation method, system and server, with according to user institute
Video is recommended to user at the weather on ground and/or the mood of user.
To achieve these goals, the invention provides a kind of video recommendation method, the method includes: obtain
Take the on-site weather in family and/or the mood of user；According to the on-site weather of described user and/or use
The mood at family recommends video to user.
Preferably, the described mood according to the on-site weather of described user and/or user is recommended to user
Video, including: the mood selecting weather on-site with described user and/or user from video library is corresponding
Video is recommended to user, and wherein, described video library storage has the video corresponding with weather and/or mood.
Preferably, the described acquisition on-site weather of user, including: by providing the website of weather information
Or software, obtains described on-site Weather information；The described mood obtaining user includes: to described
User sends mood and arranges request；Result is set by the mood of described user feedback and extracts mood information.
Preferably, the mode of setting up of described video library is: by crawling, and obtains and weather and/or mood
The video link being associated and/or video name；Described video link and/or video name are stored in institute
State video library.
Correspondingly, the invention provides a kind of server, this server includes: acquisition module, is used for obtaining
Take the on-site weather in family and/or the mood of user；Recommending module, for according to described user location
Weather and/or the mood of user recommend video to user.
Correspondingly, described recommending module be additionally operable to from video library select with the on-site weather of described user and
/ or video corresponding to the mood of user recommend to user, wherein, described video library storage have with weather and/
Or the video that mood is corresponding.
Correspondingly, described acquisition module is additionally operable to website or software by providing weather information, obtains
The on-site Weather information of described user；Described acquisition module is additionally operable to send mood to described user and arranges
Request, and result extraction mood information is set by the mood of described user feedback.
Correspondingly, the mode of setting up of described video library is: by crawling, and obtains and weather and/or mood
The video link being associated and/or video name；Described video link and/or video name are stored in institute
State video library.
Correspondingly, the invention provides a kind of video recommendation system, this system include described server with
And client；
Described client is for receiving the video that described server is recommended.
Preferably, described client is additionally operable to for user setup mood.
The present invention, by obtaining the on-site weather of user or the mood of user, recommends and user to user
On-site weather or the relevant video of user mood, so that the video content of user's viewing can be with
Mood or the current weather of user agree with, and improve user and watch the experience of video.
Other features and advantages of the present invention will be described in detail in detailed description of the invention part subsequently.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and constitutes the part of description, with
Detailed description below is used for explaining the present invention together, but is not intended that limitation of the present invention.?
In accompanying drawing:
Fig. 1 is the video recommendation method schematic diagram that the present invention provides；
Fig. 2 is the video recommendations flow chart that the present invention provides；
Fig. 3 is the server schematic diagram that the present invention provides；
Fig. 4 is the video recommendation system schematic diagram that the present invention provides.
Description of reference numerals
100 acquisition module 200 recommending module
300 server 400 clients
Detailed description of the invention
Below in conjunction with accompanying drawing, the detailed description of the invention of the present invention is described in detail.It should be appreciated that
Detailed description of the invention described herein is merely to illustrate and explains the present invention, is not limited to this
Bright.
The present invention, by obtaining the on-site weather of user or the mood of user, recommends and user to user
On-site weather or the relevant video of user mood, so that the video content of user's viewing can be with
Mood or the current weather of user agree with, and improve user and watch the experience of video.
In order to the mood according to the on-site weather of user or user recommends video, the present invention to carry to user
Supply video recommendation method as shown in Figure 1, specifically included: obtain the on-site weather of user and/or use
The mood (step 101) at family；Mood according to the on-site weather of described user and/or user is to user
Recommend video (step 103).Specifically, weather on-site with user and/or the mood pair of user
The video answered can be searched for from the video library pre-build, can be to after the video searching correspondence
User recommends, such as, link corresponding for video is sent to user and clicks on viewing for user.Video
The mode of setting up in storehouse can be by reptile agreement crawl the video link relevant with weather and/or mood or
Video name, and set up weather and/or mood and video link or the corresponding relation of video name, thus can
To search out video link or the video name of correspondence according to weather and/or mood, and recommend to user, example
As recommended video link to user, or retrieve video link according to video name and recommend to user.
Such as, such as reptile agreement can crawl the word relevant with weather or mood occurred in user comment,
So that it is determined that this video exists association with corresponding weather and/or mood, video can be stored in video library
Link and/or video name and weather and/or the corresponding relation of mood.Further, it is also possible to assisted by reptile
View crawls the comment website of some specialties, such as film comment website, obtains user's evaluation to film,
From the evaluation of film, find the word relevant with weather or mood, and in video library, set up this film
Video link or the video name relation corresponding with weather and/or mood.
Crawled by crawler technology on some website (such as video website, film comment website etc.)
After the comment of video, comment can be carried out word segmentation processing, by the word after word segmentation processing with in advance
The dictionary arranged compares that (dictionary pre-set can comprise the word being associated with weather and/or mood
Language), so that it is determined that whether this video can be recommended under particular weather, and whether can be to having spy
The user of centering feelings recommends.Such as by crawling in the comment of video, know in comment and comprise " fine day "
Such vocabulary, then can be using video link corresponding for this comment as recommending to user at fine day
Video link is stored in video library.Alternatively, can only store in video library this video title and
Video link is not stored in video library to save memory space, when needs are recommended to user, can pass through
The title of this video searches the link of this video in the server, by the client of this link push to user
End, it is achieved thereby that the propelling movement of video.Multiple pushing away is there may be corresponding to same weather or mood
The video sent, server can select the most video of broadcasting time to recommend to user, or can be random
Ground selects video to recommend to user.In order to save system resource, only video can be recommended corresponding to user
Link.Preferably, can recommend to regard to user according to the mood of the on-site weather of user and user simultaneously
Frequently.
Specifically, video library can store the video link corresponding with weather such as light rain, fine day, cloudy daies,
Store the video link etc. corresponding with the mood such as glad, sad, melancholy.The on-site weather of user is permissible
Obtain in several ways, such as, obtained by the software on search engine or mobile terminal etc. mode
The on-site weather of user.Along with the extensive application of the service relevant with geographical position, obtain user place
Ground can be accomplished in several ways, such as by the IP address of user, or the GPS information of user
Deng the acquisition on-site weather of user.Alternatively, video library can also be set up by artificial, the most logical
Cross the content browsing video, determine it with which kind of weather and/or which kind of mood exists and associate, thus at video
Storehouse is set up video link and/or video name and weather and/or the corresponding relation of mood.
The mood of user can be arranged after logging in client by user.Such as, after user logs in client,
Server sets mood to user's transmission and puts request, and user arranges the mood of user in response to described request, from
And server can by the mood of user feedback arrange result extract mood information, and according further to
The mood of user searches for the video name of correspondence in video library, and is searched out by video name further
The rule (such as broadcasting time is most or random) that corresponding video basis are preset is by the link of video
Send the client to user, or in video library, directly search the video link of correspondence and send extremely
The client of user, thus complete video recommendations process.
Fig. 2 shows a kind of example video recommended flowsheet figure that the present invention provides, and specifically includes: obtains and uses
The on-site weather in family is " fine day " (step 201)；The video corresponding with fine day is searched in video library
Link (step 203)；The video link that the most video of broadcasting time is corresponding is selected to send to user's (step
Rapid 205).By above-mentioned step, complete to recommend the process of the video about fine day to user.
Correspondingly, the invention provides a kind of server, as it is shown on figure 3, this server includes: obtain
Module 100, for obtaining the on-site weather of user and/or the mood of user；Recommending module 200, uses
In recommending video according to the mood of the on-site weather of described user and/or user to user.Recommending module
100 can select weather on-site with described user and/or corresponding the regarding of mood of user from video library
Frequency is recommended to user.It is understood that video library is previously stored with regard corresponding with weather and/or mood
Frequently.
Correspondingly, the invention provides a kind of video recommendation system, as shown in Figure 4, server 300 with
And client 400.Server 300 can be server as shown in Figure 3, and client can be used to
Receive the video that described server is recommended.Additionally, client can also be used to for user setup mood, example
If user is after logging in client 400, request can be set according to the mood that server 300 sends and exist
Client 400 arranges the mood of oneself and sends to server 300 as response, or server 300
Send mood at it to arrange and request comprises some moods select for user, the glaiest, melancholy etc. the heart
Feelings select for user.User sends mood in client 400 in response to server 300 and arranges request
After arranging the mood of user, the mood of user setup can be sent to server 300 by client 400,
Server 300 arranges result by the mood of user feedback and extracts mood information, it is possible to by receiving
The mood of user be that user recommends the video corresponding with the mood of user.
The preferred embodiment of the present invention is described in detail above in association with accompanying drawing, but, the present invention does not limit
Detail in above-mentioned embodiment, in the technology concept of the present invention, can be to the present invention
Technical scheme carry out multiple simple variant, these simple variant belong to protection scope of the present invention.
It is further to note that each the concrete technology described in above-mentioned detailed description of the invention is special
Levy, in the case of reconcilable, can be combined by any suitable means.In order to avoid need not
The repetition wanted, various possible compound modes are illustrated by the present invention the most separately.
Additionally, combination in any can also be carried out between the various different embodiment of the present invention, as long as its
Without prejudice to the thought of the present invention, it should be considered as content disclosed in this invention equally.
Claims (10)
1. a video recommendation method, it is characterised in that the method includes:
Obtain the on-site weather of user and/or the mood of user；
Mood according to the on-site weather of described user and/or user recommends video to user.
Video recommendation method the most according to claim 1, it is characterised in that described in described basis
The mood of the on-site weather of user and/or user recommends video to user, including:
From video library select video corresponding to the mood of weather on-site with described user and/or user to
User recommends, and wherein, described video library storage has the video corresponding with weather and/or mood.
Video recommendation method the most according to claim 1, it is characterised in that described acquisition user
On-site weather, including: by providing website or the software of weather information, obtain described location
Weather information；
The described mood obtaining user includes:
Send mood to described user and request is set；
Result is set by the mood of described user feedback and extracts mood information.
Video recommendation method the most according to claim 2, it is characterised in that described video library
The mode of foundation is:
By crawling, obtain the video link and/or video name being associated with weather and/or mood；
Described video link and/or video name are stored in described video library.
5. a server, it is characterised in that this server includes:
Acquisition module, for obtaining the on-site weather of user and/or the mood of user；
Recommending module, for pushing away to user according to the mood of the on-site weather of described user and/or user
Recommend video.
Server the most according to claim 5, it is characterised in that described recommending module is additionally operable to
Select video corresponding to the mood of weather on-site with described user and/or user to user from video library
Recommending, wherein, described video library storage has the video corresponding with weather and/or mood.
Server the most according to claim 6, it is characterised in that described acquisition module is additionally operable to
By providing website or the software of weather information, obtain the on-site Weather information of described user；Described
Acquisition module is additionally operable to send mood to described user and arranges request, and the heart by described user feedback
Feelings arrange result and extract mood information.
Server the most according to claim 6, it is characterised in that the foundation side of described video library
Formula is:
By crawling, obtain the video link and/or video name being associated with weather and/or mood；
Described video link and/or video name are stored in described video library.
9. a video recommendation system, it is characterised in that this system includes appointing according to claim 5-8
Anticipate a described server and client；
Described client is for receiving the video that described server is recommended.
Video recommendation system the most according to claim 9, it is characterised in that described client is also
For for user setup mood.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510937425.XA CN105898411A (en) | 2015-12-15 | 2015-12-15 | Video recommendation method and system and server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510937425.XA CN105898411A (en) | 2015-12-15 | 2015-12-15 | Video recommendation method and system and server |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105898411A true CN105898411A (en) | 2016-08-24 |
Family
ID=57002442
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510937425.XA Pending CN105898411A (en) | 2015-12-15 | 2015-12-15 | Video recommendation method and system and server |
Country Status (1)
| Country | Link |
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| CN (1) | CN105898411A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106407287A (en) * | 2016-08-29 | 2017-02-15 | 宇龙计算机通信科技(深圳)有限公司 | Multimedia resource pushing method and system |
| CN107948748A (en) * | 2017-11-30 | 2018-04-20 | 奇酷互联网络科技（深圳）有限公司 | Recommend method, equipment, mobile terminal and the computer-readable storage medium of video |
| CN114173178A (en) * | 2021-12-14 | 2022-03-11 | 维沃移动通信有限公司 | Video playing method, video playing device, electronic equipment and readable storage medium |
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| CN106407287A (en) * | 2016-08-29 | 2017-02-15 | 宇龙计算机通信科技(深圳)有限公司 | Multimedia resource pushing method and system |
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