Video recommendation method and device, computer device and storage medium

Abstract

The invention discloses a video recommendation method and device, a computer device and a storage medium, and belongs to the field of machine learning. The method comprises the steps of inputting a video into a first feature extraction network, performing feature extraction on at least one continuous video frame in the video, and outputting video features of the video; inputting the user data of the user into a second feature extraction network, performing feature extraction on the discrete user data, and outputting the user features of the user; performing feature fusion based on the video feature and the user feature to obtain a recommendation probability of recommending the video to the user; and determining whether to recommend the video to the user according to the recommendation probability. According to the method, for the user characteristics and the video characteristics, different networks are adopted for characteristic extraction, information in the user characteristics andthe video characteristics is prevented from being lost, and the video recommendation accuracy is improved.

Description

Technical field [0001] The invention relates to the field of machine learning, and in particular to a video recommendation method, device, computer equipment and storage medium. Background technique [0002] With the development of network technology, more and more users can watch videos at any time through the terminal. The server can recommend some videos that users may be interested in from the massive video database, so as to better satisfy users' video watching demand. [0003] In the recommendation process, the server can extract the joint features between any video in the video library and the user based on the Attentive Collaborative Filtering (ACT) model, and repeat the above steps for each video in the video library, and get more information. The multiple joint features corresponding to each video are further ranked according to the Euclidean distance between the multiple joint features, so that the video corresponding to the joint feature with the highest ranking is rec...

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a video recommendation method, device, computer equipment, and storage medium, which can solve the problem that the ACT model loses information in user features and video features, resulting in low video recommendation accuracy

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