A video recommendation method and device
A video recommendation and video technology, which is applied in the field of online video, can solve problems such as poor user experience, poor user experience of video recommendation, and unsatisfaction, and achieve the effect of meeting the needs of video recommendation
Active Publication Date: 2016-11-30
BEIJING QIHOO TECH CO LTD
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Problems solved by technology
However, with the development of Internet video sites and the increase in the behavior of users watching videos on the Internet, users have more diverse needs for viewing video types and characteristics. Videos that meet all types and characteristics will not exist or the quality will be poor. Videos with many features but not one outstanding feature
[0006] In the existing technical solutions, multi-type video recommendation cannot be satisfied: video type is a strong feature of video resources, and different types of video recommendation users often experience poor experience
For a user who is going to spend several hours watching romantic Korean dramas on weekends, recommending a 1.5-hour love movie is not very good for the user. Similarly, recommending sports movies of more than 1.5 hours to users who like to watch short sports videos is obviously not satisfactory. User needs
In addition, multi-feature video recommendation cannot be satisfied: videos with similar or same features are suitable for joint recommendation, while videos with different features are not suitable for joint recommendation.
Method used
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[0083] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0084] figure 2 A flowchart of a video recommendation method according to an embodiment of the present invention is schematically illustrated. Such as figure 2 As shown, in the video recommendation method 100 according to the embodiment of the present invention, at the beginning, step S101 is executed: obtain the user’s video viewing record information; then, step S103 is executed: according to the video viewing record informati...
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The present invention discloses a video recommendation method and device, wherein the method includes the following steps: obtaining video viewing record information of a user; calculating the type demand intensity of various types of videos watched by the user according to the video viewing record information; Each type of video is grouped according to video features, and the feature demand strength of each feature group is obtained; and based on the type demand strength and / or the feature demand strength, videos are recommended to the user. According to the embodiments of the present invention, multi-type and multi-feature video recommendation results can be simply and effectively provided, which satisfies users' complex video recommendation requirements.
Description
technical field [0001] The present invention relates to online video technology, in particular to a video recommendation method and device. Background technique [0002] Online video recommendation is a method and tool for video websites to help users find and watch videos in a specific field. Compared with the traditional video catalog browsing method or video search method, video recommendation can find the specific field of user needs by analyzing the user's historical behavior when the user is not sure about the appropriate search term, and make recommendations in this field, avoiding the The multi-click process of entering search terms and hierarchical directories makes finding and watching a particular type of video simple and easy. [0003] Existing video recommendation technologies mainly include two methods—video-based collaborative filtering recommendation and user-based collaborative filtering recommendation. The former recommends the most similar video to the u...
Claims
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IPC IPC(8): G06F17/30
Inventor 杨浩吴凯
Owner BEIJING QIHOO TECH CO LTD