WO2017096871A1 - 视频推荐的方法及视频推荐的终端设备 - Google Patents

视频推荐的方法及视频推荐的终端设备 Download PDF

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Publication number
WO2017096871A1
WO2017096871A1 PCT/CN2016/089067 CN2016089067W WO2017096871A1 WO 2017096871 A1 WO2017096871 A1 WO 2017096871A1 CN 2016089067 W CN2016089067 W CN 2016089067W WO 2017096871 A1 WO2017096871 A1 WO 2017096871A1
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Prior art keywords
video
acquisition request
user
videos
library
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Ceased
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PCT/CN2016/089067
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English (en)
French (fr)
Inventor
李强
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Le Holdings Beijing Co Ltd
LeTV Information Technology Beijing Co Ltd
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Le Holdings Beijing Co Ltd
LeTV Information Technology Beijing Co Ltd
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Priority to US15/250,615 priority Critical patent/US20170161391A1/en
Publication of WO2017096871A1 publication Critical patent/WO2017096871A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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
    • 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 OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • H04N21/482—End-user interface for programme selection
    • H04N21/4826—End-user interface for programme selection using recommendation lists, e.g. of programmes or channels sorted out according to their score
    • 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]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/85—Assembly of content; Generation of multimedia applications
    • H04N21/858—Linking data to content, e.g. by linking an URL to a video object, by creating a hotspot
    • 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]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/85—Assembly of content; Generation of multimedia applications
    • H04N21/858—Linking data to content, e.g. by linking an URL to a video object, by creating a hotspot
    • H04N21/8586—Linking data to content, e.g. by linking an URL to a video object, by creating a hotspot by using a URL

Definitions

  • the present application relates to the field of video technologies, and in particular, to a video recommendation method and a video recommendation terminal device.
  • video websites In order to attract users to watch more videos in this video website, video websites often recommend videos to users.
  • the video website records the user's behavior data, that is, the video of the website that the user is currently browsing or has visited, and thus the user is currently browsing or has browsed.
  • the video of the same kind is recommended to the user on the page of the video website.
  • the "like" video mentioned here is classified in a rough way. Generally, it is edited and manually sorted, and some tags or categories are added to the video artificially.
  • the video site finds that the user is browsing or has viewed a martial arts film, the video site will recommend another martial arts film to the user; if the video site finds that the user is browsing or has viewed a movie starring a movie star, The video site will recommend another movie to the user starring the movie star.
  • users may open a video to browse, but then immediately close the video because they are not interested, but the existing video recommendation method will still recommend the video similar to the video just closed.
  • each video site only recommends the same video based on the video behavior that the user is browsing or browsing on the website.
  • the recommendation method of the same type of video used by the existing video website is not accurate enough to classify the recommended video, so that the video recommended by the video website to the user is rather messy, and the video recommended to the user often does not conform to the user.
  • the interest is less compatible with the user's needs, and the video recommendation is less effective.
  • the embodiment of the present invention provides a method for video classification and a terminal device device for video classification, which is used to solve the problem that the classification standards of the videos to be recommended by the video websites in the prior art are not uniform, the classification is not accurate, and the video recommended to the user is not A technical problem that is in line with the user's interest and the effectiveness of the video recommendation.
  • An embodiment of the present application provides a video recommendation method, including:
  • the terminal device parses the video acquisition request
  • the terminal device searches for one or more videos classified according to the mapping rule of the set video classification according to the parsed video acquisition request, and acquires one or more videos that match the parsed video acquisition request, where The one or more videos are from one or more video sources;
  • the terminal device recommends the acquired one or more videos that match the parsed video acquisition request to the user.
  • the embodiment of the present application provides a video recommendation terminal device, including:
  • a receiving module configured to receive and parse a video acquisition request of the user
  • a classification module configured to store one or more videos classified according to a mapping rule of the set video classification, wherein the one or more videos are from one or more video sources;
  • a matching module configured to search, according to the parsed video acquisition request, one or more videos classified according to a mapping rule of the set video classification in the classification module;
  • a recommendation module configured to recommend, to the user, the acquired one or more videos that match the parsed video acquisition request.
  • the embodiment of the present application also provides a computer readable recording medium on which a program set to execute the above method is recorded.
  • the video recommendation method and the terminal device provided by the embodiment of the present application classify all the videos of the respective video sources by the same mapping rule, and the classification standards of all the videos from all the video sources are the same, thereby unifying Classification criteria for all videos, classification of all video sources
  • the standard is accurate, and the corresponding one or more videos are matched according to the user's video acquisition request, and one or more videos matching the video acquisition request are recommended to the user, thereby fully considering the video recommendation to the user.
  • the user's interest, video recommendation is more effective.
  • FIG. 1 is a flowchart of an embodiment of a video recommendation method of the present application
  • FIG. 2 is a schematic structural diagram of an embodiment of a video recommendation terminal device according to the present application.
  • video websites that provide video are referred to as video sources in various embodiments of the present application.
  • a method for video recommendation provided by an embodiment of the present application includes:
  • Step 11 The terminal device receives a video acquisition request of the user.
  • Step 13 The terminal device parses the video acquisition request.
  • Step 15 The terminal device searches for one or more videos classified according to the mapping rule of the set video classification according to the parsed video acquisition request, and acquires one or more matching the parsed video acquisition request. a video, wherein the one or more videos are from one or more video sources;
  • Step 17 The terminal device recommends, to the user, the acquired one or more videos that match the parsed video acquisition request.
  • the video recommendation method and the terminal device provided by the embodiment of the present application classify all the videos of the respective video sources by the same mapping rule, and the classification standards of all the videos from all the video sources are the same, thereby unifying Classification criteria for all videos, classification of all video sources
  • the standard is accurate, and the corresponding one or more videos are matched according to the user's video acquisition request, and one or more videos matching the video acquisition request are recommended to the user, thereby fully considering the video recommendation to the user.
  • the user's interest, video recommendation is more effective.
  • the method according to the embodiment of the present application before the one or more videos classified according to the mapping rule of the set video classification, includes: the terminal device setting the mapping rule; the terminal device
  • One or more videos from one or more video sources are classified according to mapping rules of the set video classification. That is, the one or more video classifications from one or more video sources according to the mapping rules of the set video classification according to the embodiment of the present application may be pre-processed, of course, according to the mapping rule pairs of the set video classifications.
  • One or more video classifications of one or more video sources may also be performed after receiving a video acquisition request sent by the user, and the specific classification may be determined according to actual needs.
  • the mapping rule includes a correspondence between a video feature and a video library.
  • the classifying, by the terminal device, the one or more videos from the one or more video sources according to the mapping rule of the set video classification including: the terminal device acquiring one or more videos from the one or more video sources a video feature; the terminal device searches for a correspondence between a video feature and a video library in the mapping rule, and acquires a video feature in a mapping rule that matches a video feature of the acquired one or more videos, and the a video library corresponding to the video feature in the matching mapping rule; the terminal device assigns the acquired one or more videos to the corresponding video library.
  • the method embodiment recommended by the video of the present application classifies all the videos of the respective video sources by the same mapping rule, and the classification standards of all the videos from all the video sources are the same, thereby unifying the classification standards of all the videos.
  • the classification criteria of all video sources are accurate, and the corresponding one or more videos are matched according to the user's video acquisition request, and one or more videos matching the video acquisition request are recommended to the user, thereby When users recommend videos, they fully consider the interests of users, and video recommendations are more effective.
  • the terminal device searches for one or more videos classified according to the mapping rule of the set video classification according to the parsed video acquisition request, and acquires one or more videos that match the parsed video acquisition request, including
  • the terminal device searches for the video library according to the parsed video acquisition request, and acquires one or more videos in the video library corresponding to the parsed video acquisition request;
  • the terminal device recommends the Obtaining one or more videos that match the parsed video acquisition request includes the terminal device recommending the acquired and the solution to the user
  • the video capture request one or more videos in the video library corresponding to the request.
  • the method includes: the terminal device storing a video library, a path of the one or more videos belonging to the video library, and a correspondence relationship with the video features of the one or more videos belonging to the video library.
  • the terminal device searches for the video library according to the parsed video acquisition request, and acquires one or more videos in the video library corresponding to the parsed video acquisition request, including the terminal device according to the parsing a video acquisition request, the video feature matching the parsed video acquisition request is searched in the correspondence relationship table, and the video feature matched according to the searched video acquisition request is in the correspondence relationship table.
  • the terminal device recommending the one or more of the acquired video library corresponding to the parsed video acquisition request to the user
  • the video includes the terminal device recommending, to the user, the video corresponding to the video feature that matches the parsed video acquisition request Path.
  • the video acquisition request includes an identifier of the user and a keyword input by the user; and the terminal device parsing the video acquisition request includes the terminal device acquiring the content according to the video acquisition request.
  • the identifier of the user and the keyword input by the user; the terminal device searches for the video feature corresponding to the parsed video acquisition request in the correspondence relationship table according to the parsed video acquisition request, according to the found and Obtaining, by the video feature corresponding to the parsed video acquisition request, the path of the video corresponding to the video feature corresponding to the parsed video acquisition request in the correspondence relationship table, including: the key of the terminal device according to the user input And searching for a video feature that matches the keyword input by the user in the correspondence relationship table, and acquiring, according to the found video feature that matches the keyword input by the user, in the corresponding relationship table.
  • the path to the video is configured to The path of the video that matches the video feature corresponding to the parsed video acquisition request.
  • the video library in the embodiment of the present application includes a high-quality library and a aging library
  • the mapping rule includes a correspondence between a video feature and a high-quality library or a aging library, that is, the mapping rule includes a video feature and a high-quality library. Correspondence relationship or correspondence between video features and aging libraries.
  • the terminal device classifying, by the terminal device, one or more videos from one or more video sources according to a mapping rule of the set video classification: the terminal device acquiring one or more videos from the one or more video sources a video feature; the terminal device searches for a correspondence between the video feature in the mapping rule and the high-quality library or the aging library, and acquires a video in the high-quality library or the aging library that matches the acquired video feature of the one or more videos. And a quality library or a aging library corresponding to the video features in the matched high quality library or aging library; the terminal device assigns the acquired one or more videos to the corresponding high quality library or aging library.
  • the video library is divided into a high-quality library and a aging library, and different videos are respectively assigned to the high-quality library and the aging library according to different video features representing the video characteristics, thereby more accurately classifying the video, and the video classification is more Accurately, the video recommended to the user can better meet the needs of the user. Therefore, the method recommended by the video recommended method of the present application fully considers the user's demand, and the video recommendation is more effective.
  • the terminal device searches for one or more videos classified according to the mapping rule of the set video classification according to the parsed video acquisition request, and acquires the video acquisition request with the parsing.
  • Matching one or more videos including: the terminal device searching for the video library according to the parsed video acquisition request, and acquiring one or more of a quality library or a aging library corresponding to the parsed video acquisition request.
  • the terminal device recommends to the user that the acquired one or more videos that match the parsed video acquisition request include the terminal device recommending the acquired video acquisition with the parsing to the user Request one or more videos in the corresponding premium library or aging library.
  • the method of the embodiment of the present application may specifically include: the terminal device storing a quality library or a aging library, the path of the one or more videos belonging to the high-quality library or the aging library, and the attribution to the quality library or the aging Corresponding relationship table of the video features of the one or more videos of the library; the terminal device searches the video library according to the parsed video acquisition request, and acquires one of the video libraries corresponding to the parsed video acquisition request Or the plurality of videos, including, by the terminal device, searching for a video feature that matches the parsed video acquisition request in the correspondence relationship table according to the parsed video acquisition request, according to the found and the parsed video.
  • Obtaining a video feature of the request matching obtaining, in the correspondence relationship table, a path of a video corresponding to the video feature that matches the parsed video acquisition request; the terminal device recommending the acquired and the parsed to the user
  • One or more videos in the video library corresponding to the video acquisition request including the terminal device recommending the and the parsing to the user Video acquisition request path video feature matching with the video.
  • the video acquisition request includes an identifier of the user and a keyword input by the user; and the terminal device parses the video acquisition request to include the terminal.
  • the device acquires the identifier of the user and the keyword input by the user according to the video acquisition request; the terminal device searches for the corresponding video acquisition request in the correspondence relationship table according to the parsed video acquisition request.
  • the path of the video corresponding to the video feature that matches the parsed video acquisition request is obtained in the corresponding relationship table according to the found video feature corresponding to the parsed video acquisition request, including:
  • the terminal device searches for a video feature matching the keyword input by the user in the correspondence relationship table according to the keyword input by the user, and according to the found video feature that matches the keyword input by the user Obtaining, in the correspondence relationship table, a path of a video corresponding to the video feature that matches the keyword input by the user; the terminal device recommending, to the user, the video feature matching corresponding to the parsed video acquisition request
  • the path of the video includes the terminal device recommending the user to the user corresponding to the user identifier Path into video feature keywords matching with the video.
  • the high-quality library and the aging library in the embodiment of the present application respectively include different channels
  • the mapping rule includes a correspondence between video features and different channels of the high-quality library or different channels of the aging library
  • Mapping of video classifications to one or more video categories from one or more video sources includes: the terminal device acquiring video features of one or more videos from the one or more video sources; the terminal device Finding a correspondence between the video features in the mapping rule and different channels of different channels or aging libraries of the high-quality library, and acquiring different channels or aging libraries of the high-quality library that match the video features of the acquired one or more videos
  • the terminal device will obtain the acquired one Or multiple videos are attributed to different channels of the different channels or aging libraries of the corresponding premium library.
  • the terminal device searches for one or more videos classified according to the mapping rule of the set video classification according to the parsed video acquisition request, and acquires the video acquisition request with the parsing.
  • Matching one or more videos including: the terminal device searching for the video library according to the parsed video acquisition request, and acquiring different channels or aging libraries of the high quality library corresponding to the parsed video acquisition request One or more videos in the channel; the terminal device recommending the obtained one or more videos that match the parsed video acquisition request to the user, the terminal device recommending the acquired and the user to the user
  • the parsed video obtains one or more videos in different channels of different channels or aging libraries of the high quality library corresponding to the request.
  • the method in the embodiment of the present application may specifically include: the terminal device storing the high quality library Paths of one or more videos of different channels of the same channel or aging library, different channels belonging to the premium library or different channels of the aging library, and different channels of the different channels or aging libraries belonging to the quality library Corresponding relationship table of video features of one or more videos; the terminal device searches for the high-quality library or the aging library according to the parsed video acquisition request, and obtains a high-quality library or aging corresponding to the parsed video acquisition request
  • the one or more videos in the library include the terminal device searching for a video feature matching the parsed video acquisition request in the correspondence relationship table according to the parsed video acquisition request, according to the found and The video feature of the parsed video acquisition request matches the path of the video corresponding to the video feature that matches the parsed video acquisition request in the correspondence relationship table; the terminal device recommends the acquired and the user to the user
  • One or more videos in the high-quality library or the aging library corresponding to the parsed video acquisition request including
  • the video library is divided into a high-quality library and a aging library, and the high-quality library and the aging library are specifically divided into different channels, and different videos are respectively assigned to the high-quality library and the aging library according to different video characteristics representing the video characteristics.
  • the different channels thus the classification of the video is more accurate, and the more accurate the video classification, the video recommended to the user can better meet the needs of the user. Therefore, the video recommended by the embodiment of the present application fully considers the user's needs. Video recommendations are more effective.
  • the video acquisition request in the embodiment of the present application includes the identifier of the user and the keyword input by the user; the terminal device parsing the video acquisition request includes the terminal device acquiring the identifier and the user of the user according to the video acquisition request. Entering a keyword; the terminal device searches for a video feature corresponding to the parsed video acquisition request in the correspondence relationship table according to the parsed video acquisition request, according to the searched and the parsed video Acquiring, by the video feature corresponding to the request, the path of the video corresponding to the video feature that matches the parsed video acquisition request in the corresponding relationship table, including: the terminal device according to the keyword input by the user, The corresponding relationship table searches for a video feature that matches the keyword input by the user, and acquires a key input with the user in the correspondence relationship table according to the found video feature that matches the keyword input by the user.
  • the terminal device recommends the location to the user Parsing the video acquisition request corresponding to the video feature video matching path includes a path to the terminal device corresponding to the user identification feature video recommendation keyword matching the user corresponding to the user input video.
  • the user's needs are fully considered, and the video recommended to the user is more accurate and full. Video recommendations are more effective than the needs of users.
  • the method according to the embodiment of the present application specifically includes: the terminal device acquiring a user's preference according to the identifier of the user; and the terminal device searching for a mapping according to the set video classification according to the parsed video acquisition request.
  • the user recommended that the acquired one or more videos that match the parsed video acquisition request include the terminal device recommending the acquired keyword input by the parsed user to the user according to the user identifier.
  • One or more videos that match the preferences of the user are considered together with the user's preference, and the user's demand is fully considered. Therefore, the video recommended to the user is more accurate, and the user's demand is more satisfied, and the video recommendation is more effective.
  • the method further includes: the terminal The device sorts the one or more videos that match the parsed video acquisition request according to relevance; the terminal device recommends the acquired one or more videos that match the parsed video acquisition request to the user And including, by the terminal device, recommending, to the user, the one or more videos that are sorted according to relevance and that match the parsed video acquisition request.
  • one or more videos that match the user are recommended according to the level of relevance, specifically considering the needs of the user, and the user's video of interest is more fully understood.
  • the video recommendation method in this embodiment of the present application fully considers the needs of the user, and the video recommendation is highly effective.
  • the method includes: the terminal device performs machine automatic classification on one or more videos of the one or more data sources by using a machine learning algorithm, and obtains automatic classification of the machine.
  • the terminal device corrects the classification result classified according to the mapping rule of the set video classification using the result of classification by using a machine learning algorithm.
  • the embodiment of the present application uses a machine learning algorithm to correct the classification of the video, so that the classification of the video for different video sources is more accurate, thereby more satisfying the user's needs when recommending the video to the user, and the video recommendation is highly effective. .
  • the classification of the video of the video source by the machine learning algorithm can be referred to the following description.
  • the use of machine learning algorithms to classify videos can include two steps: the first step is to find a batch of classified videos as training data for each video category, and then train a classification model based on the training data, the classification model. Representing the common features of the video data conforming to this classification; the second step is to use the above classification model to judge whether the video data meets the common characteristics of the video data of the category defined by the above classification model for a video data to be classified. If yes, the video data is automatically assigned to the category represented by the classification model.
  • a data source such as iqiyi has a video tag tag error, which should be marked as entertainment by the technology category, and the result is attributed to the mapping rule of the embodiment of the present application "iqiyi entertainment-> Entertainment information, so it maps to our entertainment information category, which is actually mapped incorrectly.
  • the tag tag of the data source is marked wrong, the feature of the video is still in accordance with the technology model, so the video is still classified into the technology category by the machine learning algorithm, thereby implementing the machine learning algorithm. The classification performed for the correction of the video categories in the already classified video source.
  • the terminal device periodically or irregularly selects one of the one or more video sources that is not classified according to the mapping rule of the set video classification.
  • Multiple videos are categorized; and or the categorization of one or more videos that have been classified from one or more video sources is updated.
  • the unclassified video may be periodically or irregularly performed according to the mapping rule of the embodiment of the present application. classification.
  • the classification may be updated periodically or irregularly or the mapping rule of the classification reference may be refreshed, thereby realizing the update of the video classification.
  • the updated classification can consider the actual needs of the user, and the same classification standard is adopted for the video of all the video sources. Therefore, the video recommendation method of the video recommendation method in the embodiment of the present application is unified and accurate, and the recommended video is more The video recommendation is accurate and effective considering the needs of the user.
  • the video recommendation method in the embodiment of the present application may be applied to a mobile terminal device or to a television terminal device.
  • the LeTV super mobile phone has an innovative desktop, which is called a negative 1 screen desktop. You can enter the innovative desktop by swiping from the main interface to the left. LeTV products are on this negative 1 screen desktop, using the waterfall flow to recommend videos to users.
  • the channels described in the method embodiments recommended by the video of the present application may include sports, news, entertainment, hilarity, beauty. Female, and different channels can belong to different libraries. For example, spectacular and beautiful channels can belong to high-quality libraries, while news and entertainment channels can belong to the aging library. In practical applications, the news channel can be used to crawl data on the website that Sina iQiyi updates faster.
  • data can be extracted on the channel personalized by the integrated channel, which of course can be extracted according to probability.
  • the video of each video source has its own video feature and video path representing the video characteristics; the video features of the video data are extracted, and the extracted video features are placed on the mapping rules.
  • the extraction of video features can be referred to the following description.
  • its category_path is "Information, international”. The various features of such a video will be recorded.
  • the video feature may include, but is not limited to, a category path, a breadcrumb of a video, a video tag tag, a size of a certain video website, and an inlink url of the video.
  • a category path a breadcrumb of a video
  • a video tag tag a size of a certain video website
  • an inlink url of the video.
  • the video tag tag representing the video feature is a "stock” video
  • the corresponding video library may be "financial”.
  • the mapping rule may be iqiyi---stock---financial, stock
  • the corresponding category after classification can be "finance, stock”. This is generally a mapping rule divided into three parts, the first part is the source, such as iqiyi, the second part is the characteristics of the source website. For example, "stocks”, the third part is our own classification after mapping, such as "financial, stock.” You can distinguish these three parts with other symbols, such as "---".
  • mapping rule Correspondence is mainly achieved by one mapping rule, except for the three parts of a mapping rule mentioned above, and finally there is a flag bit, which is "0" indicating that the video conforms to the mapping rule. Enter the aging library, the flag is "1" to represent the high quality library.
  • the breadcrumbs representing the video features in Tencent video is the video of “NBA Homepage, Rocket”.
  • the corresponding video library can be “Sports, Basketball, NBA”.
  • the corresponding mapping rules are: qq---NBA Homepage, Rocket- -- Sports, basketball, NBA, the corresponding category after classification can be the "Sports: Basketball, NBA" category.
  • the breadcrumbs are “Iqiyi Homepage, Information” and the video tag tag is “International” video.
  • the corresponding video library can be “International, News, International News”.
  • the corresponding mapping rule is: iqiyi --- Aiqiyi home page, information: international --- news, international news, the corresponding category after classification can be "news, international news.”
  • the channels corresponding to the video library may include sports, entertainment, hilarity, news, finance, technology, beauty, etc., among which hilarity, technology, and beauty belong to the high-quality library, and the remaining channels belong to the aging library.
  • the user's video acquisition request can come from the user's refresh operation on the LeTV product, similar to the microwave and today's headline refresh operation. If it is in the main recommendation channel: the system first calculates the proportion of the user watching various categories of videos according to the user's previous clicks and viewing records, that is, calculates the user's preference; and then determines the category proportion of the video that is finally pushed to the user.
  • the video recommendation method described in this embodiment of the present application can implement related functions through a hardware processor.
  • the method for performing the video recommendation provided by the embodiment of the present application may include the following steps: receiving a video acquisition request of the user;
  • the terminal device parses the video acquisition request
  • the terminal device searches for one or more videos classified according to the mapping rule of the set video classification according to the parsed video acquisition request, and obtains a match with the parsed video acquisition request.
  • the terminal device recommends the acquired one or more videos that match the parsed video acquisition request to the user.
  • the same mapping rule is used to classify all the videos of the respective video sources, and the classification standards of all the videos from all the video sources are the same.
  • the classification criteria of all videos are unified.
  • the classification criteria of all video sources are accurate, and the corresponding one or more videos are matched according to the user's video acquisition request, and one or more matching the video acquisition request is recommended to the user.
  • the video thus, fully considers the user's interest when recommending the video to the user, and the video recommendation is highly effective.
  • an embodiment of the present application provides a video recommendation terminal device, where the terminal device includes a receiving module 21, a classification module 23, a matching module 25, and a recommendation module 27.
  • the receiving module 21 is configured to receive and parse a video acquisition request of the user;
  • the classification module 23 is configured to store one or more videos classified according to a mapping rule of the set video classification, wherein the one or more videos The plurality of videos are from one or more video sources;
  • the matching module 25 is configured to search the classification module 23 for one or more classified according to the mapping rules of the set video classification according to the parsed video acquisition request.
  • the recommendation module 27 is configured to recommend the acquired one or more videos that match the parsed video acquisition request to the user.
  • the video recommendation terminal device provided by the embodiment of the present application classifies all the videos of the respective video sources by the same mapping rule, and the classification standards of all the videos from all the video sources are the same, thereby unifying all the
  • the classification standard of video, the classification criteria of all video sources are accurate, and the corresponding one or more videos are matched according to the user's video acquisition request, and one or more videos matching the video acquisition request are recommended to the user, by Therefore, when the video is recommended to the user, the user's interest is fully considered, and the video recommendation is highly effective.
  • the classification module 23 is configured to set and store the mapping rule, and according to the setting, before searching for one or more videos classified according to the mapping rule of the set video classification.
  • the mapping rules for video classification classify one or more videos from one or more video sources.
  • the mapping rule stored by the classification module 23 includes a correspondence between a video feature and a video library.
  • the classification module searches for one or more video sources according to a mapping rule of the set video classification.
  • One or more video classifications include: the classification module 23 from the one The video feature of the one or more video sources is obtained by the one or more video sources; the classification module 23 searches for a correspondence between the video features in the mapping rule in the storage module and the video library, and obtains one of the acquired Or a video library in a mapping rule of the video feature matching of the plurality of videos and a video library corresponding to the video feature in the matching mapping rule; the classification module 23 assigns the acquired one or more videos to the The corresponding video library.
  • the matching module 25 searches for one or more videos classified according to the mapping rules of the set video classification according to the parsed video acquisition request, and obtains and parses the video.
  • the video capture request matches the one or more videos, which may include: the matching module 25 searches the video library stored by the classification module according to the parsed video acquisition request, and acquires the video acquisition with the parsing Requesting one or more videos in the corresponding video library; the recommendation module 27 recommending to the user that the acquired one or more videos matching the parsed video acquisition request include the recommendation module recommending to the user And acquiring the one or more videos in the video library corresponding to the parsed video acquisition request.
  • the matching module 25 specifically stores a video library, a path of the one or more videos belonging to the video library, and a correspondence relationship between the video features of the one or more videos belonging to the video library.
  • the matching module 25 searches for the video library according to the parsed video acquisition request, and acquires one or more videos in the video library corresponding to the parsed video acquisition request, specifically including the matching module 25 according to the The parsed video acquisition request, searching for a video feature that matches the parsed video acquisition request in the correspondence relationship table, according to the found video feature that matches the parsed video acquisition request in the corresponding Obtaining, in the relationship table, a path of a video corresponding to the video feature that matches the parsed video acquisition request; the recommendation module 27 recommending, to the user, the acquired video library corresponding to the parsed video acquisition request One or more videos including the recommendation module 27 recommending the video feature pair that matches the parsed video acquisition request to the user The path to the video should be.
  • the video acquisition request may include an identifier of the user and a keyword input by the user;
  • the receiving module 21 parsing the video acquisition request includes the receiving module acquiring the user according to the video acquisition request.
  • the matching module 25 searches for a video feature corresponding to the parsed video acquisition request in the correspondence relationship table according to the parsed video acquisition request, according to the found and Obtaining, according to the video feature corresponding to the parsed video acquisition request, the video corresponding to the parsed video acquisition request in the correspondence relationship table
  • the path of the corresponding video is specifically included: the matching module 25 searches for the video feature matching the keyword input by the user in the corresponding relationship table according to the keyword input by the user, according to the searched a video feature matching the keyword input by the user acquires a path of a video corresponding to a video feature matching the keyword input by the user in the correspondence relationship table;
  • the recommendation module recommends the user to the user
  • the video library may specifically include a high-quality library and a aging library, where the mapping rule includes a correspondence between a video feature and a high-quality library or a aging library; and the classification module 23 performs mapping rules according to the set video classification.
  • Classifying the one or more videos from the one or more video sources specifically includes: the classification module 23 acquiring video features of the one or more videos from the one or more video sources; the classification module 23 searching for the Corresponding relationship between the video feature in the mapping rule and the high-quality library or the aging library, obtaining the video feature in the high-quality library or the aging library matching the video feature of the acquired one or more videos, and the matching high-quality library or A quality library or a aging library corresponding to the video features in the aging library; the classification module 23 assigns the acquired one or more videos to the corresponding high-quality library or aging library.
  • the matching module 25 searches for one or more videos classified according to the mapping rule of the set video classification according to the parsed video acquisition request, and obtains a matching with the parsed video acquisition request.
  • the one or more videos include: the matching module 25 searches the video library according to the parsed video acquisition request, and acquires one or more of the high-quality library or the aging library corresponding to the parsed video acquisition request.
  • the recommendation module 27 recommends to the user that the acquired one or more videos that match the parsed video acquisition request specifically includes the recommendation module 27 recommending the acquired and the parsing to the user.
  • the video captures one or more videos in the premium library or aging library corresponding to the request.
  • the matching module 25 specifically stores a quality library or a aging library, a path of the one or more videos belonging to the high-quality library or the aging library, and one or the attribution to the quality library or the aging library. Corresponding relationship table of the video features of the plurality of videos; the matching module 25 searches the video library according to the parsed video acquisition request, and acquires one or more of the video libraries corresponding to the parsed video acquisition request. The video, specifically including the matching module 25, according to the parsed video acquisition request, searching for a video matching the parsed video acquisition request in the correspondence relationship table.
  • the recommendation module Desiring to the user, the one or more videos in the video library corresponding to the parsed video acquisition request, including the recommendation module 27, recommending the parsed video acquisition to the user The path of the video corresponding to the video feature requesting the match.
  • the video acquisition request may include the identifier of the user and the keyword input by the user;
  • the receiving module 21 is specifically configured to: the parsing the video acquisition request specifically includes the terminal device acquiring according to the video acquisition request.
  • the matching module 25 searches for the video feature corresponding to the parsed video acquisition request in the correspondence relationship table according to the parsed video acquisition request, according to the searching Obtaining, by the video feature corresponding to the parsed video acquisition request, the path of the video corresponding to the video feature that matches the parsed video acquisition request in the corresponding relationship table, specifically: the matching module 25 according to the a keyword input by the user, searching for a video feature matching the keyword input by the user in the correspondence relationship table, and according to the searched video feature matching the keyword input by the user in the corresponding relationship Obtaining, in the table, a path of a video corresponding to the video feature that matches the keyword input by the user;
  • the step of the module 27 recommending, to the user, the video
  • the high-quality library and the aging library may respectively include different channels, and the mapping rule includes a correspondence between video features and different channels of the high-quality library or different channels of the aging library;
  • the classification module 23 classifying one or more videos from one or more video sources according to a mapping rule of the set video classification specifically includes: the classification module 23 acquires video of one or more videos from the one or more video sources The categorization module 23 searches for a correspondence between the video features in the mapping rule and different channels of the different channels or aging libraries of the high-quality library, and obtains a high-quality library that matches the video features of the acquired one or more videos.
  • the matching module 25 searches for one or more videos classified according to the mapping rule of the set video classification according to the parsed video acquisition request, and obtains a matching with the parsed video acquisition request.
  • the one or more videos include: the matching module 25 searches the video library according to the parsed video acquisition request, and acquires different channels or aging libraries of the high quality library corresponding to the parsed video acquisition request.
  • One or more videos in the channel; the recommendation module 27 recommending the obtained one or more videos that match the parsed video acquisition request to the user specifically includes the recommendation module 27 recommending the user to the Obtaining one or more videos in different channels of different channels or aging libraries of the premium library corresponding to the parsed video acquisition request.
  • the matching module 25 may store different channels of different channels or aging libraries of the high-quality library, one or more videos of different channels belonging to different channels of the high-quality library or the aging library. a path and a correspondence table of video features of one or more videos of different channels of the different channels or aging libraries belonging to the quality library; the matching module 25 searches for the quality according to the parsed video acquisition request
  • the library or the aging library obtains one or more videos in the high-quality library or the aging library corresponding to the parsed video acquisition request, and specifically includes the matching module 25 according to the parsed video acquisition request, in the corresponding relationship Obtaining, by the table, the video feature that matches the parsed video acquisition request, and acquiring, according to the found video feature that matches the parsed video acquisition request, acquiring, in the correspondence relationship table, the parsed video acquisition request.
  • the video feature corresponds to the path of the video; the recommendation module 27 recommends the obtained and the parsed video to the user
  • a request corresponding to the high-aging library or libraries or more video module 27 comprises a recommendation to the user the recommended video acquisition request matching features corresponding to the parsed video and video paths.
  • the video acquisition request may specifically include the identifier of the user and the keyword input by the user;
  • the receiving module 21 parsing the video acquisition request includes the terminal device acquiring the user according to the video acquisition request.
  • the matching module 25 searches for the video feature corresponding to the parsed video acquisition request in the correspondence relationship table according to the parsed video acquisition request, according to the found and And obtaining, by the video feature corresponding to the parsed video acquisition request, a path of the video corresponding to the video feature that matches the parsed video acquisition request, where the matching module 25 is configured according to the user input.
  • the path that the user recommends the video that matches the video feature corresponding to the parsed video acquisition request specifically includes the recommendation module 27 recommending the keyword corresponding to the user to the user corresponding to the user identifier.
  • the video feature corresponds to the path of the video.
  • the receiving module may obtain the user's preference according to the identifier of the user; the matching module 25 searches for the mapping rule according to the set video classification according to the parsed video acquisition request.
  • the user recommendation that the acquired one or more videos that match the parsed video acquisition request specifically includes the recommendation module 27 recommending the acquired user input with the parsing to the user according to the user identifier.
  • One or more videos that match the keyword's preferences One or more videos that match the keyword's preferences.
  • the recommendation module 27 recommends the obtained one or more videos that match the parsed video acquisition request to the user: the recommendation module 27 acquires the video with the parsing One or more videos requesting matching are sorted according to relevance; the recommendation module 27 recommends to the user that the acquired one or more videos matching the parsed video acquisition request include the recommendation module according to relevance The high to low manner recommends the obtained one or more videos that match the parsed video acquisition request to the user.
  • the matching module 25 may specifically perform machine automatic classification on one or more videos of the one or more data sources by using a machine learning algorithm to obtain one or more videos automatically classified by the machine;
  • the matching module 27 corrects the classification result classified according to the mapping rule of the set video classification using the result of the classification by the machine learning algorithm.
  • the classification module 23 periodically or irregularly classifies the one or more videos that are not classified from one or more video sources according to the mapping rules of the set video classification; And or updating the classification of one or more videos that have been classified from one or more video sources.
  • the device embodiments described above are merely illustrative, wherein the description as separate components
  • the modules may or may not be physically separate.
  • the components displayed as modules may or may not be physical modules, that is, may be located in one place, or may be distributed to multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without deliberate labor.

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Abstract

一种视频推荐的方法及视频推荐的终端设备本申请实施例提供的视频推荐的方法，包括：终端设备接收用户的视频获取请求；所述终端设备解析所述视频获取请求；所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，其中，所述一个或多个视频来自一个或多个视频源；所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。本申请实施例的技术方案使得各视频源对对待推荐的视频的分类标准是统一的、分类准确、且向用户推荐的视频充分考虑了用户的兴趣、视频推荐的有效性较高。

Description

视频推荐的方法及视频推荐的终端设备
本申请要求于2015年12月08日提交中国专利局、申请号为201510900582.3，发明名称为“视频推荐的方法及视频推荐的终端设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及视频技术领域，尤其涉及一种视频推荐的方法及视频推荐的终端设备。
背景技术
随着科学技术的迅猛发展与进步，互联网成为了人们生活中不可或缺的重要组成部分，通过互联网人们可以非常方便的浏览视频网站中的视频。同时，随着以手机和电视为代表的终端设备的普及，手机和电视等终端设备也越来越多的代替电脑的地位，人们可以通过手机和电视等终端设备非常方便的从互联网上浏览视频。而且，由于手机这类终端设备相较于电视这类终端设备的使用方便性这个角度来看，相信随着科学技术的进一步发展，人们通过手机这类终端设备随时随地的从互联网上浏览视频会越来越普遍。
视频网站为了吸引用户观看本视频网站内的更多的视频，往往会向用户推荐视频。当用户在视频网站上浏览视频时，视频网站就会记录用户的行为数据，即将用户当前正在浏览的或者曾经浏览过的本网站的视频记录下来，从而将与用户当前正在浏览的或者曾经浏览过的视频同类的视频在该视频网站的网页上推荐给用户。这里所说的“同类的”视频，其归类方式比较粗略，一般都采用编辑人工整理的方式，人为地对视频添加一些标签或分类。比如，如果视频网站发现用户正在浏览或者曾经浏览过一部武打片，该视频网站就会向用户推荐另一部武打片；如果视频网站发现用户正在浏览或者曾经浏览过某影星主演的一部片子，该视频网站就会向该用户推荐该影星主演的另一部片子。而且，有时候用户可能会打开一部视频进行浏览，但随即又因为不感兴趣而立马关闭该视频，但现有的视频推荐方式仍会向用户推荐与刚刚关闭的视频所同类的视频。
现有的视频网站数目众多，用户经常在多个视频网站间跳转来浏览不同的视频。由于各个视频网站之间的视频分类标准不同，各视频网站仅仅根据用户在本网站上正在浏览的或者曾经浏览的视频行为进行同类视频的推荐， 没有统一的分类标准，且现有的视频网站所采用的同类视频的推荐方法对待推荐的视频的分类不够准确，使得视频网站推荐给用户的视频较为杂乱，向用户推荐的视频往往并不符合用户的兴趣，与用户需求的匹配度较低，视频推荐的有效性较差。
发明内容
本申请实施例提供一种视频分类的方法及视频分类的终端设备设备，用以解决现有技术中各视频网站对对待推荐的视频的分类标准不统一、分类不够准确、向用户推荐的视频不符合用户的兴趣、及视频推荐的有效性较差的技术问题。
本申请实施例提供一种视频推荐的方法，包括：
终端设备接收用户的视频获取请求；
所述终端设备解析所述视频获取请求；
所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，其中，所述一个或多个视频来自一个或多个视频源；
所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。
本申请实施例提供一种视频推荐的终端设备，包括：
接收模块，设置为接收并解析用户的视频获取请求；
分类模块，设置为存储根据设定的视频分类的映射规则分类后的一个或多个视频，其中，所述一个或多个视频来自一个或多个视频源；
匹配模块，设置为根据所述解析的视频获取请求，在所述分类模块中查找根据设定的视频分类的映射规则分类后的一个或多个视频；
推荐模块，设置为向所述用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。
本申请实施例还提供一种在其上记录有设置为执行上述方法的程序的计算机可读记录介质。
本申请实施例提供的视频推荐的方法及终端设备，通过对来个各个视频源的所有视频采用同一个映射规则进行分类，对来自所有视频源的所有视频的分类标准是同一个，由此统一了所有视频的分类标准，所有视频源的分类 标准是准确的，而且会根据用户的视频获取请求来匹配对应的一个或多个视频，并且向用户推荐与视频获取请求匹配的一个或多个视频，由此，在向用户推荐视频时充分考虑了用户的兴趣，视频推荐的有效性较高。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本申请视频推荐方法一个实施例的流程图；
图2为本申请视频推荐终端设备实施例的结构示意图。
具体实施方式
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
为便于描述，本申请的各个实施例中将提供视频的各个视频网站称为视频源。
请参考图1，本申请实施例提供的一种视频推荐的方法，包括：
步骤11，终端设备接收用户的视频获取请求；
步骤13，所述终端设备解析所述视频获取请求；
步骤15，所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，其中，所述一个或多个视频来自一个或多个视频源；
步骤17，所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。
本申请实施例提供的视频推荐的方法及终端设备，通过对来个各个视频源的所有视频采用同一个映射规则进行分类，对来自所有视频源的所有视频的分类标准是同一个，由此统一了所有视频的分类标准，所有视频源的分类 标准是准确的，而且会根据用户的视频获取请求来匹配对应的一个或多个视频，并且向用户推荐与视频获取请求匹配的一个或多个视频，由此，在向用户推荐视频时充分考虑了用户的兴趣，视频推荐的有效性较高。
具体地，根据本申请实施例，所述查找根据设定的视频分类的映射规则分类后的一个或多个视频之前所述方法包括：所述终端设备设定所述映射规则；所述终端设备根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类。即本申请实施例所述的根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类可以是预先进行的，当然根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类也可以是在收到用户发送的视频获取请求之后进行的，具体什么时候分类可以根据实际情况的需要而定。
本申请视频推荐的方法实施例中，所述映射规则包括视频特征与视频库的对应关系。则所述终端设备根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类包括：所述终端设备从所述一个或多个视频源获取一个或多个视频的视频特征；所述终端设备查找所述映射规则中的视频特征与视频库的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的映射规则中的视频特征及与所述匹配的映射规则中的视频特征对应的视频库；所述终端设备将所述获取的一个或多个视频归属到所述对应的视频库。本申请视频推荐的方法实施例通过对来个各个视频源的所有视频采用同一个映射规则进行分类，对来自所有视频源的所有视频的分类标准是同一个，由此统一了所有视频的分类标准，所有视频源的分类标准是准确的，而且会根据用户的视频获取请求来匹配对应的一个或多个视频，并且向用户推荐与视频获取请求匹配的一个或多个视频，由此，在向用户推荐视频时充分考虑了用户的兴趣，视频推荐的有效性较高。
所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，包括：所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频；所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频包括所述终端设备向所述用户推荐所述获取的与所述解 析的视频获取请求对应的视频库中的一个或多个视频。
具体地，所述方法包括：所述终端设备存储视频库、所述归属到视频库的一个或多个视频的路径及与所述归属到视频库的一个或多个视频的视频特征的对应关系表；所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频包括所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频包括所述终端设备向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
本申请视频推荐的方法实施例中，所述视频获取请求包括用户的标识和用户输入的关键字；所述终端设备解析所述视频获取请求包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求对应的视频特征对应的视频的路径，包括：所述终端设备根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；所述终端设备向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径包括所述终端设备向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
具体地，本申请实施例中的所述视频库包括优质库和时效库，则所述映射规则包括视频特征与优质库或时效库的对应关系，即所述映射规则包括视频特征与优质库的对应关系或者视频特征与时效库的对应关系。所述终端设备根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类包括：所述终端设备从所述一个或多个视频源获取一个或多个视频的 视频特征；所述终端设备查找所述映射规则中的视频特征与优质库或时效库的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的优质库或时效库中的视频特征及与所述匹配的优质库或时效库中的视频特征对应的优质库或时效库；所述终端设备将所述获取的一个或多个视频归属到所述对应的优质库或时效库。本申请实施例中视频库的分为优质库和时效库，根据代表视频特性的视频特征的不同将不同的视频分别归属优质库和时效库，由此对于视频的分类更精确，视频分类越是精确，推荐给用户的视频更能满足用户的需求，由此，本申请视频推荐的方法实施例推荐给用户的视频充分考虑了用户的需求，视频推荐的有效性更高。
具体地，本申请实施例中，所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，包括：所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频；所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频包括所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频。
本申请实施例所述的方法可以具体包括：所述终端设备存储优质库或时效库、所述归属到优质库或时效库的一个或多个视频的路径及与所述归属到优质库或时效库的一个或多个视频的视频特征的对应关系表；所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频包括所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频包括所述终端设备向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
本申请实施例所述的视频推荐方法中，所述视频获取请求包括用户的标识和用户输入的关键字；所述终端设备解析所述视频获取请求包括所述终端 设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径，包括：所述终端设备根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；所述终端设备向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径包括所述终端设备向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
当然，本申请实施例中所述优质库和时效库分别包括不同的频道，所述映射规则包括视频特征与优质库的不同频道或时效库的不同频道的对应关系；所述终端设备根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类包括：所述终端设备从所述一个或多个视频源获取一个或多个视频的视频特征；所述终端设备查找所述映射规则中的视频特征与优质库的不同频道或时效库的不同频道的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的优质库的不同频道或时效库中的不同频道的视频特征及与所述匹配的优质库的不同频道或时效库的不同频道的视频特征对应的优质库的不同频道或时效库的不同频道；所述终端设备将所述获取的一个或多个视频归属到所述对应的优质库的不同频道或时效库的不同频道。
具体地，本申请实施例中，所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，包括：所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的优质库的不同频道或时效库的不同频道中的一个或多个视频；所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频包括所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库的不同频道或时效库的不同频道中的一个或多个视频。
本申请实施例所述的方法可以具体包括：所述终端设备存储优质库的不 同频道或时效库的不同频道、所述归属到优质库的不同频道或时效库的不同频道的一个或多个视频的路径及与所述归属到优质库的不同频道或时效库的不同频道的一个或多个视频的视频特征的对应关系表；所述终端设备根据所述解析的视频获取请求，查找所述优质库或时效库，获取与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频包括所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频包括所述终端设备向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。本申请实施例中视频库的分为优质库和时效库，优质库和时效库又具体分为不同的频道，根据代表视频特性的视频特征的不同将不同的视频分别归属优质库和时效库的不同的频道，由此对于视频的分类更精确，视频分类越是精确，推荐给用户的视频更能满足用户的需求，由此，本申请实施例推荐给用户的视频充分考虑了用户的需求，视频推荐的有效性更高。
本申请实施例中所述视频获取请求包括用户的标识和用户输入的关键字；所述终端设备解析所述视频获取请求包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径，包括：所述终端设备根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；所述终端设备向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径包括所述终端设备向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。本申请实施例根据用户输入的关键字视频推荐时，充分考虑了用户的需求，由此推荐给用户的视频更准确，更能满 足用户的需求，视频推荐的有效性更高。
具体地，本申请实施例所述的方法具体包括所述终端设备根据所述用户的标识获取用户的偏好；所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，包括所述终端设备根据所述解析的用户输入的关键字和所述用户的偏好，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的用户输入的关键字和所述用户的偏好匹配的一个或多个视频；所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频包括所述终端设备根据所述用户标识向所述用户推荐所述获取的与所述解析的用户输入的关键字和所述用户的偏好匹配的一个或多个视频。本申请实施例在视频推荐是一并考虑了用户的偏好，充分考虑了用户的需求，由此推荐给用户的视频更准确，更能满足用户的需求，视频推荐的有效性更高。
具体地，本申请实施例所述的方法中，所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频之前，所述方法还包括：所述终端设备将所述与所述解析的视频获取请求匹配的一个或多个视频按照相关度排序；所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频包括所述终端设备向用户推荐所述按照相关度排序后的与所述解析的视频获取请求匹配的一个或多个视频。本申请视频推荐的方法实施例中，根据相关度的高低来向用户推荐匹配的一个或多个视频，具体地考虑了用户的需求，对于用户的感兴趣的视频做到了更充分的了解，由此本申请实施例的视频推荐方法充分了考虑了用户的需求，视频推荐的有效性高。
具体地，本申请实施例所述的方法中，所述方法包括所述终端设备采用机器学习算法对所述一个或多个数据源的一个或多个视频进行机器自动分类，获得机器自动分类的一个或多个视频；所述终端设备使用采用机器学习算法分类的结果修正所述根据设定的视频分类的映射规则进行分类的分类结果。本申请实施例采用机器学习算法对于视频的分类进行修正，使得针对不同视频源的视频的分类更精确，由此，在后续向用户推荐视频时更能满足用户的需求，视频推荐的有效性高。
本申请视频推荐的方法实施例中，机器学习算法对视频源的视频的分类可以参照如下的描述。采用机器学习算法对视频进行分类可以包括两步：第一步对每个视频的类别，先找到一批已经分类过的视频作为训练数据，然后根据训练数据训练出一个分类模型，所述分类模型代表了符合这个分类的视频数据的公共特征；第二步，对于一个需要分类的视频数据，运用上述分类模型进行判断，判断该视频数据是否符合上述分类模型所定义的类别的视频数据的公共特征，如果是则自动把该视频数据分到所述分类模型所代表的类别。例如某个数据源例如爱奇艺(iqiyi)有个视频的标签tag标错了，原本应该是科技类别被标记成娱乐了，结果被归属到本申请实施例的的映射规则“iqiyi娱乐->娱乐资讯”，因此映射到我们的娱乐资讯类别，这样实际上就映射错了。但根据机器学习算法，虽然该数据源的标签tag被标错了，但该视频的特征还是符合科技模型的，因此该视频仍然会被机器学习算法分到科技类别，由此实现了机器学习算法进行的分类对于已经分类的视频源中的视频类别的修正。
具体地，本申请实施例所述的方法中，所述终端设备定期或不定期的根据所述设定的视频分类的映射规则对所述来自一个或多个视频源的没有进行分类的一个或多个视频进行分类；和或对来自一个或多个视频源的已经分类的一个或多个视频的分类进行更新。由于视频随时在增加，不同视频源的没有分类过的视频是随时在增加的，为了做到视频推荐的准确有效，可以定期或不定期对没有分类过的视频按照本申请实施例的映射规则进行分类。当然，对于已经分类过的视频，也可以定期或不定期的对于分类进行更新或者对于分类参考的映射规则进行刷新，由此实现对视频分类的更新。更新后的分类更能考虑用户的实际需求，而且针对所有视频源的视频采用相同的分类标准，由此，本申请实施例所述的视频推荐方法视频的分类标准统一且准确，推荐的视频更是充分考虑用户的需求，视频推荐准确有效。
本申请实施例的所述的视频推荐方法可以应用在手机终端设备上，也可以应用在电视终端设备上。例如，乐视超级手机有一个创新桌面，该创新桌面被称为负1屏桌面，从主界面往左划一下即可进入该创新桌面。乐视产品就在这个负1屏桌面上，采用瀑布流的方式给用户推荐视频。当然，本申请视频推荐的方法实施例中所述的频道可以包括体育、新闻、娱乐、搞笑、美 女，而且，不同的频道可以归属不同的库，例如搞笑和美女频道可以归属优质库，而新闻和娱乐频道可以归属时效库。在实际应用中，新闻频道，可以到新浪爱奇艺更新较快的网站抓取数据。对于体育、美女频道，可以在综合频道个性化的频道来抽取数据，当然可以是按照概率抽取数据。
各个视频源的视频有各自的能够代表视频特性的视频特征及视频的路径；提取视频数据的视频特征，将所述提取的视频特征放到映射规则。
视频特征的提取可以参考如下的描述。视频特征的爬虫抓取各网站视频的时候，会把所能获取到的所有信息都存储下来，例如对于如下这个视频：http://www.iqiyi.com/v_19rrkanlr8.html#vfrm＝2-4-0-1，视频标题下方的“爱奇艺首页>资讯”是该视频的面包屑，“国际”是该视频的标签，该视频是通过页面http://list.iqiyi.com/www/25/21740-------------4-1-2-iqiyi-1-.html跳转过来的，所以该视频的inlink(入链)就是http://list.iqiyi.com/www/25/21740-------------4-1-2-iqiyi-1-.html另外，在入链页面中，如下图所示，它的category_path是“资讯，国际”。这样一个视频的各种特征都会被记录下来。
本申请实施例所述的视频推荐方法中，所述视频特征可以包括但不限于类别路径category path，视频的面包屑，视频标签tag，某些视频网站的大号，视频的入链(inlink url)中一个或者多个的组合，只要视频特征能够代表所述视频的特征就可以。通过之前爬虫提取的视频的各种视频特征，我们会针对各网站采用不同的映射规则，比如优酷的一些优质大号发的视频比较好，我们就会对youku采用大号映射的方法，比如youku有个大号叫“汽车之家”，我们会有一个映射规则是：youku---汽车之家---汽车；再比如iqiyi的面包屑和标签的组合筛选的数据比较准确，就会用两者的组合生成另一条映射规则，拿之前例子举例：iqiyi---爱奇艺首页>资讯国际---新闻：国际新闻。
比如爱奇艺iqiyi中代表视频特征的视频标签tag为“股票”的视频，对应的视频库可以是“财经”，此时所述映射规则可以是iqiyi---股票---财经，股票，分类后对应的类别可以是“财经，股票”。这一般一条映射规则分为3部分，第一部分是来源，比如iqiyi，第二部分是在源网站的特征， 比如“股票”，第三部分是映射后我们自己的分类，比如“财经，股票”。可以用其他符号把这三个部分区分开来，比如用“---”。
对应关系主要是通过一条一条的映射规则来实现的，除了上面所说的一条映射规则包含的3个部分以为，最后还有一个标志位，该标志位为“0”表示符合该映射规则的视频进入时效库，标志位为“1”代表进高质量库。
又比如腾讯视频中代表视频特征的面包屑为“NBA首页，火箭”的视频，对应的视频库可以是“体育，篮球，NBA”，对应的映射规则为：qq---NBA首页，火箭---体育，篮球，NBA，分类后对应的类别可以是“体育：篮球，NBA”分类。
又比如，iqiyi网站中面包屑为“爱奇艺首页，资讯”并且视频标签tag为“国际”的视频，对应的视频库可以是“国际，新闻，国际新闻”，对应的映射规则为：iqiyi---爱奇艺首页，资讯：国际---新闻，国际新闻，分类后对应的类别可以是“新闻，国际新闻”。
分类体系中，视频库对应的频道可以包括体育、娱乐、搞笑、新闻、财经、科技、美女等，其中搞笑、科技、美女属于优质库，其余频道属于时效库。用户的视频获取请求可以来自于用户在乐视产品上的刷新操作，类似于微波和今日头条的刷新操作。如果是在主推荐频道：系统首先会根据用户之前的点击和观看记录，算出用户观看各种类别视频的比例，即算出用户的偏好；之后确定最终推送给用户的视频的类别比例。比如某用户总共看过5条新闻，3条娱乐和2条美女共10条视频，此时如果用户刷新操作，则用户的视频获取请求按5：3：2的比例分别从新闻、娱乐和美女的倒排链里取相应比例的数据返回给用户。如果用户又观看了一条新闻的视频，则下次刷新的时候比例分别变为6/11：3/11：2/11。当然，对于第一次使用本产品的新用户，每个类别会有一个默认的比例。
本申请实施例所述的视频推荐的方法可以通过硬件处理器来实现相关功能。所述硬件处理器在执行本申请实施例提供的一种视频推荐的方法，可以包括如下处理：接收用户的视频获取请求；
所述终端设备解析所述视频获取请求；
所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配 的一个或多个视频，其中，所述一个或多个视频来自一个或多个视频源；
所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。
本申请实施例的硬件处理器实现视频推荐的方法时，通过对来个各个视频源的所有视频采用同一个映射规则进行分类，对来自所有视频源的所有视频的分类标准是同一个，由此统一了所有视频的分类标准，所有视频源的分类标准是准确的，而且会根据用户的视频获取请求来匹配对应的一个或多个视频，并且向用户推荐与视频获取请求匹配的一个或多个视频，由此，在向用户推荐视频时充分考虑了用户的兴趣，视频推荐的有效性较高。
请参考图2，本申请实施例提供一种视频推荐的终端设备，所述终端设备包括接收模块21、分类模块23、匹配模块25和推荐模块27。其中，所述接收模块21设置为接收并解析用户的视频获取请求；所述分类模块23设置为存储根据设定的视频分类的映射规则分类后的一个或多个视频，其中，所述一个或多个视频来自一个或多个视频源；所述匹配模块25设置为根据所述解析的视频获取请求，在所述分类模块23中查找根据设定的视频分类的映射规则分类后的一个或多个视频；所述推荐模块27设置为向所述用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。
本申请实施例提供的视频推荐的终端设备，通过对来个各个视频源的所有视频采用同一个映射规则进行分类，对来自所有视频源的所有视频的分类标准是同一个，由此统一了所有视频的分类标准，所有视频源的分类标准是准确的，而且会根据用户的视频获取请求来匹配对应的一个或多个视频，并且向用户推荐与视频获取请求匹配的一个或多个视频，由此，在向用户推荐视频时充分考虑了用户的兴趣，视频推荐的有效性较高。
本申请实施例中，所述分类模块23设置为在查找根据设定的视频分类的映射规则分类后的一个或多个视频之前，具体设置为设定且存储所述映射规则，并根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类。
本申请实施例中，所述分类模块23存储的映射规则包括视频特征与视频库的对应关系；具体地，所述分类模块根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类包括：所述分类模块23从所述一 个或多个视频源获取一个或多个视频的视频特征；所述分类模块23查找所述存储模块中的所述映射规则中的视频特征与视频库的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的映射规则中的视频特征及与所述匹配的映射规则中的视频特征对应的视频库；所述分类模块23将所述获取的一个或多个视频归属到所述对应的视频库。
本申请实施例中，所述匹配模块25根据所述解析的视频获取请求，在所述分类模块中查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，可以具体包括：所述匹配模块25根据所述解析的视频获取请求，查找所述分类模块存储的所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频；所述推荐模块27向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频包括所述推荐模块向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频。
本申请实施例中，所述匹配模块25具体存储视频库、所述归属到视频库的一个或多个视频的路径及与所述归属到视频库的一个或多个视频的视频特征的对应关系表；所述匹配模块25根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频具体包括所述匹配模块25根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；所述推荐模块27向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频包括所述推荐模块27向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
本申请实施例中，所述视频获取请求可以包括用户的标识和用户输入的关键字；所述接收模块21解析所述视频获取请求包括所述接收模块根据所述视频获取请求获取所述用户的标识和用户输入的关键字；所述匹配模块25根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求对应的视频特 征对应的视频的路径，具体包括：所述匹配模块25根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；所述推荐模块向27所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径包括所述推荐模块27向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
本申请实施例中，所述视频库可以具体包括优质库和时效库，所述映射规则包括视频特征与优质库或时效库的对应关系；所述分类模块23根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类具体包括：所述分类模块23从所述一个或多个视频源获取一个或多个视频的视频特征；所述分类模块23查找所述映射规则中的视频特征与优质库或时效库的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的优质库或时效库中的视频特征及与所述匹配的优质库或时效库中的视频特征对应的优质库或时效库；所述分类模块23将所述获取的一个或多个视频归属到所述对应的优质库或时效库。
本申请实施例中，所述匹配模块25根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，具体包括：所述匹配模块25根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频；所述推荐模块27向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频具体包括所述推荐模块27向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频。
本申请实施例中，所述匹配模块25具体存储优质库或时效库、所述归属到优质库或时效库的一个或多个视频的路径及与所述归属到优质库或时效库的一个或多个视频的视频特征的对应关系表；所述匹配模块25根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频，具体包括所述匹配模块25根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特 征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；所述推荐模块27向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频具体包括所述推荐模块27向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
本申请实施例中，所述视频获取请求可以包括用户的标识和用户输入的关键字；所述接收模块21具体设置为解析所述视频获取请求具体包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；所述匹配模块25根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径，具体包括：所述匹配模块25根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；所述推荐模块27向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径具体包括所述推荐模块27向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
本申请实施例中，具体地，所述优质库和时效库可以分别包括不同的频道，所述映射规则包括视频特征与优质库的不同频道或时效库的不同频道的对应关系；所述分类模块23根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类具体包括：所述分类模块23从所述一个或多个视频源获取一个或多个视频的视频特征；所述分类模块23查找所述映射规则中的视频特征与优质库的不同频道或时效库的不同频道的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的优质库的不同频道或时效库中的不同频道的视频特征及与所述匹配的优质库的不同频道或时效库的不同频道的视频特征对应的优质库的不同频道或时效库的不同频道；所述分类模块23将所述获取的一个或多个视频归属到所述对应的优质库的不同频道或时效库的不同频道。
本申请实施例中，所述匹配模块25根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，具体包括：所述匹配模块25根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的优质库的不同频道或时效库的不同频道中的一个或多个视频；所述推荐模块27向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频具体包括所述推荐模块27向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库的不同频道或时效库的不同频道中的一个或多个视频。
本申请实施例中，具体地，所述匹配模块25可以存储优质库的不同频道或时效库的不同频道、所述归属到优质库的不同频道或时效库的不同频道的一个或多个视频的路径及与所述归属到优质库的不同频道或时效库的不同频道的一个或多个视频的视频特征的对应关系表；所述匹配模块25根据所述解析的视频获取请求，查找所述优质库或时效库，获取与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频，具体包括所述匹配模块25根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；所述推荐模块27向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频具体包括所述推荐模块27向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
本申请实施例中，所述视频获取请求可以具体包括用户的标识和用户输入的关键字；所述接收模块21解析所述视频获取请求包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；所述匹配模块25根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径，具体包括：所述匹配模块25根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征， 根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；所述推荐模块27向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径具体包括所述推荐模块27向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
本申请实施例中，所述所述接收模块可以具体根据所述用户的标识获取用户的偏好；所述匹配模块25根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，具体包括所述匹配模块23根据所述解析的用户输入的关键字和所述用户的偏好，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的用户输入的关键字和所述用户的偏好匹配的一个或多个视频；所述推荐模块27向所述用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频具体包括所述推荐模块27根据所述用户标识向所述用户推荐所述获取的与所述解析的用户输入的关键字和所述用户的偏好匹配的一个或多个视频。
本申请实施例中，所述推荐模块27向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频之前：所述推荐模块27将所述与所述解析的视频获取请求匹配的一个或多个视频按照相关度排序；所述推荐模块27向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频包括所述推荐模块按照相关度的从高到低的方式向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。
本申请实施例中，所述匹配模块25可以具体采用机器学习算法对所述一个或多个数据源的一个或多个视频进行机器自动分类，获得机器自动分类的一个或多个视频；所述匹配模块27使用采用机器学习算法分类的结果修正所述根据设定的视频分类的映射规则进行分类的分类结果。
本申请实施例中，所述分类模块23定期或不定期的根据所述设定的视频分类的映射规则对所述来自一个或多个视频源的没有进行分类的一个或多个视频进行分类；和或对来自一个或多个视频源的已经分类的一个或多个视频的分类进行更新。
以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明 的模块可以是或者也可以不是物理上分开的，作为模块显示的部件可以是或者也可以不是物理模块，即可以位于一个地方，或者也可以分布到多个网络模块上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到各实施方式可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件。基于这样的理解，上述技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读记录介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行各个实施例或者实施例的某些部分所述的方法。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (37)

  1. 一种视频推荐的方法，其特征在于，包括：
    终端设备接收用户的视频获取请求；
    所述终端设备解析所述视频获取请求；
    所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，其中，所述一个或多个视频来自一个或多个视频源；
    所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。
  2. 根据权利要求1所述的方法，其特征在于，
    所述查找根据设定的视频分类的映射规则分类后的一个或多个视频之前所述方法还包括：
    所述终端设备设定所述映射规则；
    所述终端设备根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类。
  3. 根据权利要求2所述的方法，其特征在于，
    所述映射规则还包括视频特征与视频库的对应关系；
    所述终端设备根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类还包括：
    所述终端设备从所述一个或多个视频源获取一个或多个视频的视频特征；
    所述终端设备查找所述映射规则中的视频特征与视频库的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的映射规则中的视频特征及与所述匹配的映射规则中的视频特征对应的视频库；
    所述终端设备将所述获取的一个或多个视频归属到所述对应的视频库。
  4. 根据权利要求3所述的方法，其特征在于，
    所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，还包括：所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或 多个视频；
    所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频还包括所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频。
  5. 根据权利要求4所述的方法，其特征在于，
    所述方法还包括：所述终端设备存储视频库、所述归属到视频库的一个或多个视频的路径及与所述归属到视频库的一个或多个视频的视频特征的对应关系表；
    所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频，还包括所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；
    所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频还包括所述终端设备向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
  6. 根据权利要求5所述的方法，其特征在于，
    所述视频获取请求还包括用户的标识和用户输入的关键字；
    所述终端设备解析所述视频获取请求包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；
    所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求对应的视频特征对应的视频的路径，还包括：所述终端设备根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；
    所述终端设备向所述用户推荐所述与所述解析的视频获取请求对应的视 频特征匹配的视频的路径还包括所述终端设备向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
  7. 根据权利要求3所述的方法，其特征在于，
    所述视频库还包括优质库和时效库，所述映射规则包括视频特征与优质库或时效库的对应关系；
    所述终端设备根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类还包括：
    所述终端设备从所述一个或多个视频源获取一个或多个视频的视频特征；
    所述终端设备查找所述映射规则中的视频特征与优质库或时效库的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的优质库或时效库中的视频特征及与所述匹配的优质库或时效库中的视频特征对应的优质库或时效库；
    所述终端设备将所述获取的一个或多个视频归属到所述对应的优质库或时效库。
  8. 根据权利要求7所述的方法，其特征在于，
    所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，还包括：所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频；
    所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频还包括所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频。
  9. 根据权利要求8所述的方法，其特征在于，
    所述方法还包括：所述终端设备存储优质库或时效库、所述归属到优质库或时效库的一个或多个视频的路径及与所述归属到优质库或时效库的一个或多个视频的视频特征的对应关系表；
    所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频，还包括所述终 端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；
    所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频还包括所述终端设备向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
  10. 根据权利要求9所述的方法，其特征在于，
    所述视频获取请求还包括用户的标识和用户输入的关键字；
    所述终端设备解析所述视频获取请求还包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；
    所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径，还包括：所述终端设备根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；
    所述终端设备向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径还包括所述终端设备向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
  11. 根据权利要求7所述的方法，其特征在于，
    所述优质库和时效库分别还包括不同的频道，所述映射规则包括视频特征与优质库的不同频道或时效库的不同频道的对应关系；
    所述终端设备根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类还包括：
    所述终端设备从所述一个或多个视频源获取一个或多个视频的视频特征；
    所述终端设备查找所述映射规则中的视频特征与优质库的不同频道或时 效库的不同频道的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的优质库的不同频道或时效库中的不同频道的视频特征及与所述匹配的优质库的不同频道或时效库的不同频道的视频特征对应的优质库的不同频道或时效库的不同频道；
    所述终端设备将所述获取的一个或多个视频归属到所述对应的优质库的不同频道或时效库的不同频道。
  12. 根据权利要求11所述的方法，其特征在于，
    所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，还包括：所述终端设备根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的优质库的不同频道或时效库的不同频道中的一个或多个视频；
    所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频还包括所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库的不同频道或时效库的不同频道中的一个或多个视频。
  13. 根据权利要求12所述的方法，其特征在于，
    所述方法还包括：所述终端设备存储优质库的不同频道或时效库的不同频道、所述归属到优质库的不同频道或时效库的不同频道的一个或多个视频的路径及与所述归属到优质库的不同频道或时效库的不同频道的一个或多个视频的视频特征的对应关系表；
    所述终端设备根据所述解析的视频获取请求，查找所述优质库或时效库，获取与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频，还包括：所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；
    所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频还包括所述终端设备向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
  14. 根据权利要求13所述的方法，其特征在于，
    所述视频获取请求还包括用户的标识和用户输入的关键字；
    所述终端设备解析所述视频获取请求还包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；
    所述终端设备根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径，还包括：所述终端设备根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；
    所述终端设备向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径还包括所述终端设备向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
  15. 根据权利要求1-3、7和11任一权利要求所述的方法，其特征在于，
    所述方法还包括所述终端设备根据所述用户的标识获取用户的偏好；
    所述终端设备根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，还包括：所述终端设备根据所述解析的用户输入的关键字和所述用户的偏好，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的用户输入的关键字和所述用户的偏好匹配的一个或多个视频；
    所述终端设备向所述用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频还包括所述终端设备根据所述用户标识向所述用户推荐所述获取的与所述解析的用户输入的关键字和所述用户的偏好匹配的一个或多个视频。
  16. 根据权利要求1-3、7和11任一权利要求所述的方法，其特征在于，
    所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频之前，所述方法还包括：所述终端设备将所述与所述解析的视频获取请求匹配的一个或多个视频按照相关度排序；
    所述终端设备向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频还包括所述终端设备向用户推荐所述按照相关度排序后的与所述解析的视频获取请求匹配的一个或多个视频。
  17. 根据权利要求1-3、7和11任一权利要求所述的方法，其特征在于，
    所述方法还包括所述终端设备采用机器学习算法对所述一个或多个数据源的一个或多个视频进行机器自动分类，获得机器自动分类的一个或多个视频；
    所述终端设备使用采用机器学习算法分类的结果修正所述根据设定的视频分类的映射规则进行分类的分类结果。
  18. 根据权利要求1-3、7和11任一权利要求所述的方法，其特征在于，
    所述方法还包括：所述终端设备定期或不定期的根据所述设定的视频分类的映射规则对所述来自一个或多个视频源的没有进行分类的一个或多个视频进行分类；和或对来自一个或多个视频源的已经分类的一个或多个视频的分类进行更新。
  19. 一种视频推荐的终端设备，其特征在于，包括：
    接收模块，设置为接收并解析用户的视频获取请求；
    分类模块，设置为存储根据设定的视频分类的映射规则分类后的一个或多个视频，其中，所述一个或多个视频来自一个或多个视频源；
    匹配模块，设置为根据所述解析的视频获取请求，在所述分类模块中查找根据设定的视频分类的映射规则分类后的一个或多个视频；
    推荐模块，设置为向所述用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频。
  20. 根据权利要求19所述的终端设备，其特征在于，
    所述分类模块具体设置为在查找根据设定的视频分类的映射规则分类后的一个或多个视频之前，设定且存储所述映射规则，并根据设定的视频分类 的映射规则对来自一个或多个视频源的一个或多个视频分类。
  21. 根据权利要求20所述的终端设备，其特征在于，
    具体地，所述分类模块存储的映射规则包括视频特征与视频库的对应关系；
    所述分类模块根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类还包括：
    所述分类模块从所述一个或多个视频源获取一个或多个视频的视频特征；
    所述分类模块查找所述存储模块中的所述映射规则中的视频特征与视频库的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的映射规则中的视频特征及与所述匹配的映射规则中的视频特征对应的视频库；
    所述分类模块将所述获取的一个或多个视频归属到所述对应的视频库。
  22. 根据权利要求21所述的终端设备，其特征在于，
    所述匹配模块根据所述解析的视频获取请求，在所述分类模块中查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，还包括：所述匹配模块根据所述解析的视频获取请求，查找所述分类模块存储的所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频；
    所述推荐模块向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频还包括所述推荐模块向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频。
  23. 根据权利要求22所述的终端设备，其特征在于，
    具体地，所述匹配模块存储视频库、所述归属到视频库的一个或多个视频的路径及与所述归属到视频库的一个或多个视频的视频特征的对应关系表；
    所述匹配模块根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频，还包括：所述匹配模块根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹 配的视频特征对应的视频的路径；
    所述推荐模块向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频还包括所述推荐模块向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
  24. 根据权利要求23所述的终端设备，其特征在于，
    所述视频获取请求包括用户的标识和用户输入的关键字；
    所述接收模块解析所述视频获取请求还包括所述接收模块根据所述视频获取请求获取所述用户的标识和用户输入的关键字；
    所述匹配模块根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求对应的视频特征对应的视频的路径，还包括：所述匹配模块根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；
    所述推荐模块向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径还包括所述推荐模块向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
  25. 根据权利要求21所述的终端设备，其特征在于，
    具体地，所述视频库包括优质库和时效库，所述映射规则包括视频特征与优质库或时效库的对应关系；
    所述分类模块根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类还包括：
    所述分类模块从所述一个或多个视频源获取一个或多个视频的视频特征；
    所述分类模块查找所述映射规则中的视频特征与优质库或时效库的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的优质库或时效库中的视频特征及与所述匹配的优质库或时效库中的视频特征对应的优质库或时效库；
    所述分类模块将所述获取的一个或多个视频归属到所述对应的优质库或时效库。
  26. 根据权利要求25所述的终端设备，其特征在于，
    所述匹配模块根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，还包括：所述匹配模块根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频；
    所述推荐模块向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频还包括所述推荐模块向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频。
  27. 根据权利要求26所述的终端设备，其特征在于，
    具体地，所述匹配模块存储优质库或时效库、所述归属到优质库或时效库的一个或多个视频的路径及与所述归属到优质库或时效库的一个或多个视频的视频特征的对应关系表；
    所述匹配模块根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的视频库中的一个或多个视频，还包括：所述匹配模块根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；
    所述推荐模块向所述用户推荐所述获取的与所述解析的视频获取请求对应的视频库中的一个或多个视频还包括所述终端设备向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
  28. 根据权利要求27所述的终端设备，其特征在于，
    具体地，所述视频获取请求包括用户的标识和用户输入的关键字；
    所述接收模块具体设置为解析所述视频获取请求包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；
    所述匹配模块根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的 视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径，还包括：所述匹配模块根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；
    所述推荐模块向所述用户推荐所述与所述解析的视频获取请求对应的视频特征匹配的视频的路径还包括所述终端设备向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
  29. 根据权利要求25所述的终端设备，其特征在于，
    具体地，所述优质库和时效库分别包括不同的频道，所述映射规则包括视频特征与优质库的不同频道或时效库的不同频道的对应关系；
    所述分类模块根据设定的视频分类的映射规则对来自一个或多个视频源的一个或多个视频分类还包括：
    所述分类模块从所述一个或多个视频源获取一个或多个视频的视频特征；
    所述分类模块查找所述映射规则中的视频特征与优质库的不同频道或时效库的不同频道的对应关系，获取与所述获取的一个或多个视频的视频特征匹配的优质库的不同频道或时效库中的不同频道的视频特征及与所述匹配的优质库的不同频道或时效库的不同频道的视频特征对应的优质库的不同频道或时效库的不同频道；
    所述分类模块将所述获取的一个或多个视频归属到所述对应的优质库的不同频道或时效库的不同频道。
  30. 根据权利要求29所述的终端设备，其特征在于，
    所述匹配模块根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，还包括：所述匹配模块根据所述解析的视频获取请求，查找所述视频库，获取与所述解析的视频获取请求对应的优质库的不同频道或时效库的不同频道中的一个或多个视频；
    所述推荐模块向用户推荐所述获取的与所述解析的视频获取请求匹配的 一个或多个视频还包括所述推荐模块向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库的不同频道或时效库的不同频道中的一个或多个视频。
  31. 根据权利要求30所述的终端设备，其特征在于，
    具体地，所述匹配模块存储优质库的不同频道或时效库的不同频道、所述归属到优质库的不同频道或时效库的不同频道的一个或多个视频的路径及与所述归属到优质库的不同频道或时效库的不同频道的一个或多个视频的视频特征的对应关系表；
    所述匹配模块根据所述解析的视频获取请求，查找所述优质库或时效库，获取与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频，还包括：所述匹配模块根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求匹配的视频特征，根据所述查找到的与所述解析的视频获取请求匹配的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径；
    所述推荐模块向所述用户推荐所述获取的与所述解析的视频获取请求对应的优质库或时效库中的一个或多个视频还包括所述推荐模块向所述用户推荐所述与所述解析的视频获取请求匹配的视频特征对应的视频的路径。
  32. 根据权利要求31所述的终端设备，其特征在于，
    所述视频获取请求包括用户的标识和用户输入的关键字；
    具体地，所述接收模块解析所述视频获取请求包括所述终端设备根据所述视频获取请求获取所述用户的标识和用户输入的关键字；
    所述匹配模块根据所述解析的视频获取请求，在所述对应关系表查找与所述解析的视频获取请求对应的视频特征，根据所述查找到的与所述解析的视频获取请求对应的视频特征在所述对应关系表中获取与所述解析的视频获取请求匹配的视频特征对应的视频的路径，还包括：所述匹配模块根据所述用户输入的关键字，在所述对应关系表查找与所述用户输入的关键字匹配的视频特征，根据所述查找到的与所述用户输入的关键字匹配的视频特征在所述对应关系表中获取与所述用户输入的关键字匹配的视频特征对应的视频的路径；
    所述推荐模块向所述用户推荐所述与所述解析的视频获取请求对应的视 频特征匹配的视频的路径还包括所述推荐模块向所述用户标识对应的用户推荐所述与所述用户输入的关键字匹配的视频特征对应的视频的路径。
  33. 根据权利要求19-21、25和29任一权利要求所述的终端设备，其特征在于，
    具体地，所述接收模块根据所述用户的标识获取用户的偏好；
    所述匹配模块根据所述解析的视频获取请求，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的视频获取请求匹配的一个或多个视频，还包括：所述匹配模块根据所述解析的用户输入的关键字和所述用户的偏好，查找根据设定的视频分类的映射规则分类后的一个或多个视频，获取与所述解析的用户输入的关键字和所述用户的偏好匹配的一个或多个视频；
    所述推荐模块向所述用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频具体包括所述推荐模块根据所述用户标识向所述用户推荐所述获取的与所述解析的用户输入的关键字和所述用户的偏好匹配的一个或多个视频。
  34. 根据权利要求19-21、25和29任一权利要求所述的终端设备，其特征在于，
    具体地，所述推荐模块向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频之前：所述推荐模块将所述与所述解析的视频获取请求匹配的一个或多个视频按照相关度排序；
    所述推荐模块向用户推荐所述获取的与所述解析的视频获取请求匹配的一个或多个视频具体包括所述推荐模块向用户推荐所述按照相关度排序后的与所述解析的视频获取请求匹配的一个或多个视频。
  35. 根据权利要求19-21、25和29任一权利要求所述的终端设备，其特征在于，
    具体地，所述匹配模块采用机器学习算法对所述一个或多个数据源的一个或多个视频进行机器自动分类，获得机器自动分类的一个或多个视频；
    具体地，所述匹配模块使用采用机器学习算法分类的结果修正所述根据设定的视频分类的映射规则进行分类的分类结果。
  36. 根据权利要求19-21、25和29任一权利要求所述的终端设备，其特 征在于，
    具体地，所述分类模块定期或不定期的根据所述设定的视频分类的映射规则对所述来自一个或多个视频源的没有进行分类的一个或多个视频进行分类；和或对来自一个或多个视频源的已经分类的一个或多个视频的分类进行更新。
  37. 一种在其上记录有设置为执行权利要求1-18任一项所述方法的程序的计算机可读记录介质。
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