Video recommendation method and system

A video recommendation and video technology, applied in image communication, selective content distribution, electrical components, etc., can solve the problems of inability to recommend TV users, increase user time cost, inconvenience, etc., achieve automatic recommendation function, reduce time cost, The effect of meeting viewing needs

Inactive Publication Date: 2016-10-12
TCL CORPORATION
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The existing technology cannot make corresponding recommendations based on the above three characteristics of TV users, and the recommendation is not very targeted
When users are searching for programs, they cannot effectively obtain the program information they are interested in, which increases the user's time cost and brings inconvenience to users

Method used

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Embodiment Construction

[0053] In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0054] The present invention communicates data with a server through a smart TV terminal, wherein the server includes an algorithm layer, a computing layer, and a storage layer, specifically, as figure 1As shown, smart TV is a TV terminal, which is mainly used for user data collection and recommendation result display. The algorithm layer is used for video classification (clustering) and recommendation. The calculation layer includes Spark and YARN unified resource management and scheduling platform. Spark is An open-source general parallel framework, the intermediate output results of Spark can be stored in memory, so Spark can be better applied ...

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Abstract

The invention discloses a video recommendation method and system. The method comprises the steps that a server obtains video information of various videos, divides the videos into different categories by employing a clustering algorithm, calculates category weights of the various videos in the corresponding categories and stores the category weights; a smart television collects user behavior data and then uploads the data to the server, and the server calculates user preference data according to the user behavior data and calculates preliminary recommendation results of video programs un-watched by users according to the user preference data; the server calculates the attributes and weights of the various videos in various periods of time according to the catalog weights and the user preference data, combines the attributes and weights of the various videos in various periods of time to generate final recommendation results and sends the final recommendation results to the smart television for display. According to the method and the system, the interest degree of the users to the watched videos can be estimated, related videos can be recommended according to the periods of time, the watching demands of family members can be satisfied as much as possible, and the time cost of the users can be reduced.

Description

technical field [0001] The present invention relates to the technical field of smart TVs, in particular to a video recommendation method and system. Background technique [0002] With the development of triple play, smart TV has become a representative product of the integration and transformation of "smart and video". With the development and popularization of smart TV, the multimedia content on the smart TV platform is constantly enriched, and the amount of data continues to expand. Faced with such a large amount of multimedia content, smart TV users can only rely on their own means to find the content they are interested in. Find a needle in a haystack. Therefore, the personalized recommendation system has become an important means. It can not only help users find movies or videos that they may be interested in from the massive video library, but also establish a stable long-term relationship with users and improve users' awareness of the website. Loyalty to prevent use...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/25H04N21/258H04N21/466
CPCH04N21/25891H04N21/252H04N21/4667H04N21/4668
Inventor 冯研
Owner TCL CORPORATION
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