Video recommendation processing method and apparatus, device, and storage medium

By introducing a video consumption prediction model into the video recommendation system, which uses a fully connected deep neural network to predict the playback duration and step size of relevant videos, the problem of insufficient global satisfaction of users in landing page browsing scenarios in existing technologies is solved. This enables personalized video recommendations within the same video playback cycle, thereby improving user experience and consumption satisfaction.

CN116156262BActive Publication Date: 2026-07-21BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Filing Date
2023-02-21
Publication Date
2026-07-21

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Abstract

The present disclosure provides a video recommendation processing method and device, equipment and a storage medium, relates to the technical field of computers, in particular to the technical field of video recommendation. The specific implementation scheme is: obtaining a current video played by a user in a video browsing landing page; determining, based on the current video, estimated consumption data of the user for a related video, wherein the related video is a subsequent recommended video related to content or extended content of the current video provided for the user in the same video playing period, and the estimated consumption data is used to represent an estimated playing time and an estimated video step of the related video; and sorting the related video according to the estimated consumption data to obtain the related video after updating the recommendation sequence, so as to recommend the related video after updating the recommendation sequence to the user. The user can be continuously recommended the video of interest in the same video playing period, and the overall satisfaction of the user in the same video playing period is improved.
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