Video recommendation method and system

A video recommendation and video technology, applied in the field of data processing, can solve the problems of poor information recommendation accuracy and poor user experience.

Inactive Publication Date: 2020-06-26
北京搜狐新动力信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiments of the present invention provide a video recommendation method and system to solve the problems of poor user experience and poor accuracy of information recommendation in current personalized recommendation services.

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  • Video recommendation method and system
  • Video recommendation method and system

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Embodiment Construction

[0042] 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 only some, not all, embodiments of the present invention. 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.

[0043] In this application, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes none. other elements specifically listed, or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "com...

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Abstract

The invention provides a video recommendation method and system. The method comprises the steps of obtaining long and short video features and user features of a user; inputting the user features andthe long and short video features into a preset recommendation model for click rate prediction to obtain a predicted click rate of each to-be-recommended long video and a predicted click rate of eachto-be-recommended short video; and sorting all theto-be-recommended long videos to be recommended and all the to-be-recommended short videos to be recommended according to the predicted click rate ofeach to-be-recommended long video to be recommended and the predicted click rate of each to-be-recommended short video to be recommended, and feeding back a sorting result to the user. In the scheme,the user characteristics and the long and short video characteristics obtained by combining the long video characteristics and the short video characteristics are input into the pre-trained recommendation model to obtain the predicted click rates of the to-be-recommended long video and the to-be-recommended short videos. Sorting t The to-be-recommended long videos and the to-be-recommended short videos are sorted according to the predicted click rate, and feeding back a sorting result is reported to the user, thereby realizing recommendation of different types of information, and improving theuse experience of the user and the accuracy of information recommendation.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a video recommendation method and system. Background technique [0002] With the development of the Internet, various application software has been developed. When the user uses the application software, the application software will provide the user with personalized recommendation service. [0003] At present, the way of providing personalized recommendation service to users is: according to the user's historical behavior data, the recommendation algorithm is used to filter the information according to the user's preferences, so as to obtain the information that the user likes. However, the current personalized recommendation service can only recommend a single type of information. As the types of information continue to increase and the characteristics of each type of information are different, the current personalized recommendation service cannot meet the actual nee...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/73G06F16/74G06F16/9535G06F16/957
CPCG06F16/73G06F16/743G06F16/9535G06F16/957
Inventor 刘庆标
Owner 北京搜狐新动力信息技术有限公司
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