A Short Video Generation Method Based on User Interest and Interactive Behavior

Abstract

The invention discloses a short video generation method based on user interests and interactive behaviors. By transferring the analysis of user interest browsing behaviors from a cloud server to a mobile device, the large number of short videos generated by users browsing a large number of short videos is greatly reduced. Analyzing the operational load caused by the data on the cloud server reduces the risk of using the cloud server; at the same time, through the operation of node marking on the timeline of the short video when the user watches the short video, other users who have the same viewing experience as the user can Filter and obtain short video browsing interest behaviors, further improve the accuracy of pushing user preferences, and control the content generated by short videos more accurately.

Description

technical field [0001] The invention relates to the related field of video processing technology, in particular to a short video generation method based on user interest and interactive behavior. Background technique [0002] With the rapid development of information and network technology, driven by today's fast-paced lifestyle, short videos have become a streaming media information dissemination method widely accepted and used by the public. Although short videos are short in length, when a single video introduces a single The content lacks enough reasonable reasoning and demonstration content, but it is also widely accepted because of its short duration, which can use more fragmented time to learn and absorb more content in fragments, and is more convenient to watch. , The short duration also makes the overall number of short videos very large, so how to generate and push short videos to users is also very important. [0003] The short video generation method used for pu...

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Problems solved by technology

[0004] However, when the generation method in the prior art is used to push short videos, because the duration of short videos is relatively short, the number of short videos viewed by users is very large, and the use of traditional long video push methods is obviously very difficult for the cloud The server will generate a large load requirement, which increases the risk of using the cloud server. At the same time, the content of the short video is short and messy, and the traditional method of content preference analysis also has relatively large usage restrictions.

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