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Video recommendation method and system

A video recommendation and video technology, applied in the field of data processing, to achieve the effect of overcoming feature sparsity and improving accuracy

Active Publication Date: 2017-05-10
TCL CORPORATION
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  • Summary
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiments of the present invention provide a video recommendation method and system to better deal with the data sparsity problem encountered by existing video recommendation systems, thereby recommending videos to users more accurately

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Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] According to the relationship between all users and videos, the embodiment of the present invention establishes the association between user clustering centers and videos; based on the associations corresponding to all the user clustering centers, a collaborative filtering algorithm is executed; according to the The result obtained by the collaborative filtering algorithm recommends videos to target users. In order to illustrate the technic...

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Abstract

The invention belongs to the field of data processing, and provides a video recommendation method and system. The method comprises the following steps of: establishing a relationship between users and videos according to score data of the users; mining cluster center points according to the relationship between the users and the videos, establishing association between a user cluster center and the videos so as to carry out a collaborative filtering algorithm on the basis of all the cluster center points and then obtain a recommendation result; and recommending a video to an appointed user according to result obtained by the collaborative algorithm. Through the collaborative filtering algorithm on the basis of all the cluster center points, the problem that the existing collaborative filtering algorithm encounters sparse features is overcome, and the recommendation correctness and the ability of being adapted to large-scale data are improved.

Description

technical field [0001] The invention belongs to the field of data processing, and in particular relates to a video recommendation method and system. Background technique [0002] At present, the personalized recommendation system has been widely used in the recommendation of goods and content such as books, papers, music and movies, and the internal structure of the personalized recommendation system has also undergone tremendous changes. The existing recommendation method is to generate a personalized recommendation list based on the user's interests and hobbies on different items, and recommend objects such as videos, books, and commodities that the user has never touched to the user. [0003] In academia, many researches on personalized recommendation rely on collaborative filtering methods. The idea of ​​collaborative filtering is mainly divided into two types: user-based collaborative filtering and item-based collaborative filtering. The biggest difference between the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/735G06F16/9535
Inventor 冯研
Owner TCL CORPORATION
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