Video recommendation method and device and electronic equipment

Abstract

The invention relates to a video recommendation method and apparatus, and an electronic device, which are used for improving the accuracy of capturing the uploading interest of a user and improving the accuracy of recommendation capable of promoting the user to upload works. The method comprises the following steps: receiving a video recommendation request of an account logged in a client; based on the historical behavior information of the account, obtaining a video editing item set corresponding to the account, wherein the video editing item set comprises multiple video editing items, the video editing items are used for editing video information input by a client to generate video works, and different video editing items edit the video information in different modes; obtaining a video work edited by the video editing items in the video editing item set from a video work library; and filtering and sorting the video works obtained from the video work library to obtain candidate videoworks recommended to the account.

Description

technical field [0001] The present disclosure relates to the technical field of information filtering systems, and in particular to a video recommendation method, device and electronic equipment. Background technique [0002] The recommendation system is an information filtering system that can learn the user's interests and hobbies based on the user's profile or historical behavior records, and predict the user's rating or preference for a given item, which changes the way the platform communicates with users and strengthens the platform. Interaction with users, recommending works that may be of interest to users. [0003] For the short video recommendation system, the recall stage of the recommendation process is used as the first step in the recommendation process to initially screen the recommended short videos. However, the existing recall methods are almost all considered from the perspective of user consumption and social interaction. Most of the videos recommended b...

AI Technical Summary

Problems solved by technology

[0003] For the short video recommendation system, the recall stage of the recommendation process is used as the first step in the recommendation process to initially screen the recommended short videos. However, the existing recall methods are almost all considered from the perspective of user consumption and social interaction. Most of the videos recommended by users try to meet the consumption and social needs of users on the platform. In order to improve the consumption experience of users or promote the construction of social networks, there is currently a lack of recall methods for personalized users to promote publishing or uploading works, and the existing recall methods are not accurate. It captures users' uploading interests and cannot provide personalized video recommendations for different users to improve users' willingness to upload.

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