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A video recommendation method and system

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

Active Publication Date: 2022-04-01
TCL CORPORATION
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  • Abstract
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  • Claims
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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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  • A video recommendation method and system
  • A video recommendation method and system
  • A video recommendation method and system

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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 includes: establishing the relationship between the user and the video according to the rating data of the user; mining the clustering center points according to the relationship between the user and the video, and establishing the association between the user clustering center and the video, so as to carry out a video based on all The collaborative filtering algorithm of the clustering center point can get the recommendation result; according to the result of the collaborative algorithm, the video is recommended to the specified user. In the present invention, through the collaborative filtering algorithm based on all cluster center points, the problem of sparse features encountered by existing collaborative filtering algorithms is overcome, and the accuracy of recommendation and the adaptability 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 Patents(China)
IPC IPC(8): G06F16/735G06F16/9536
CPCG06F16/735G06F16/9535
Inventor 冯研
Owner TCL CORPORATION
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