Improved personalized recommendation method and system in video app
A recommendation method and video technology, applied in selective content distribution, instruments, computing, etc., can solve problems such as incompatibility, stay in personalized recommendation methods, etc.
Active Publication Date: 2020-06-26
宁夏凯速德科技有限公司
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Problems solved by technology
[0005] However, the existing personalized recommendation methods mostly stay in the item-based, user-based or collaborative filtering-based personalized recommendation methods.
Not suitable for personalized recommendations in video apps
Method used
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Embodiment Construction
[0051] The embodiment of the present invention provides an improved personalized recommendation method in the video app, which includes the following steps:
[0052] S0. Configure the barrage sending option in the video app; the barrage content in the video app is filtered according to preset rules;
[0053] By implementing this step, the barrage information can be used as important information to assist in personalized recommendation; the barrage information is used as information for users to directly comment on video frames at various time points in real time, and can directly express the user's tendentious opinions on the video.
[0054] S1. Obtain the personal information of the user in the video app;
[0055] S2. When the video is played in the video app, the type information of the video is obtained according to the video tag information, and the playback duration information, pause, rewind, and fast-forward information of the video are obtained through the video app mo...
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The invention relates to an improved personalized recommendation method applied to a video application. The method includes the following steps that: S0, bullet screen content in the video application is filtered according to a preset rule; S1, the personal information of a user in the video application is obtained; S2, when a video in the application video is played, the type information of the video is obtained according to video label information, and video information is obtained through video application monitoring; S3, the friend circle information of the user is obtained according to the personal information of the user in the video application, and the initial video preference information of the user is predicted according to the personal information of the user; S4, the initial list of video personalized recommendations is obtained through the type information of the video obtained in step S2; and S5, the candidate list of the video personalized recommendations is screened through the preferences of the user in step S3, so that a final video personalized recommendation list can be obtained, and the final video personalized recommendation list is displayed on the video application.
Description
technical field [0001] The invention relates to the technical field of personalized recommendation, in particular to an improved method and system for personalized recommendation in video app. Background technique [0002] The Internet is an important way for people to obtain information. The main feature of the traditional Internet is that when users look for things they are interested in, they need to conduct a large number of searches through the browser, and at the same time need to manually filter out a large number of irrelevant results. The operation is cumbersome and Takes time and energy. [0003] Taking e-commerce as an example, the main feature of traditional e-commerce is that users log on to various e-commerce platforms, find products they are interested in, and then make purchases. However, with the continuous expansion of the scale of e-commerce, merchants provide a large number of products through shopping websites, so that users cannot quickly understand al...
Claims
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IPC IPC(8): H04N21/25H04N21/466H04N21/478G06F16/9535
CPCG06F16/9535H04N21/251H04N21/4667H04N21/4668H04N21/47815
Inventor 郑波
Owner 宁夏凯速德科技有限公司