Video recommendation method based on user head portrait and video recommendation system based on user head portrait

Abstract

The invention provides a video recommendation method based on a user head portrait and a video recommendation system based on user head portrait. Combined training is performed according to the standardized head portraits of massive users and the watched video data so as to obtain a convolutional neural network model based on image representation. The possibly interested videos of the users can beautomatically learnt according to the head portraits uploaded by the users so that the problem of video recommendation of the cold start users can be effectively solved. Meanwhile, feature vectors obtained by vectorization processing of the semantic vectors outputted by the trained convolutional neural network model and the basic information of the users and the feature information of the presetmultiple candidate recommendation videos are inputted to the recommendation system to be processed. The machine learning result based on the user images, the basic information of the users and the features of the candidate recommendation videos are simultaneously considered so that the accuracy and the fineness of the recommendation videos for the users finally obtained by the recommendation system can be guaranteed.

Description

technical field [0001] The present invention relates to the technical field of video recommendation, and more particularly, to a method and system for recommending videos based on user avatars. Background technique [0002] The current personalized video recommendation technology relies heavily on the user's past behavior. A newly registered user or a user with few behaviors, that is, a cold-start user, cannot provide enough behavioral data for the video recommendation system to give an accurate video recommendation result. . [0003] The existing common practice is to let new users fill in some favorite video types and other information when registering. However, there are usually very few users who actively participate in this kind of research, which makes the existing video recommendation system unable to effectively solve the problem of cold start users. Video recommendation problem. SUMMARY OF THE INVENTION [0004] In view of this, the present invention proposes a ...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention proposes a video recommendation method and system based on user avatars, which effectively solves the problem of video recommendation for cold-start users and improves the accuracy and fineness of video recommendation

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