Method and system for user interest mining and user recommendation based on social pictures

Abstract

The present invention provides a user interest mining and user recommendation method and system based on social pictures. The method includes: obtaining all pictures and picture tags of users from social networking sites; The neural network extracts a fixed-length visual vector; uses the topic model to extract a fixed-length text vector for the label of each picture; according to all the visual vectors and text vectors extracted in the feature extraction step, uses the user interest analysis model to convert the visual vector and text vector Clustering by similarity, calculating the interest-category distribution of social images, and calculating the user-interest distribution of users. Further, by analyzing the Euclidean distance between the target user's user-interest distribution and the candidate user's user-interest distribution, candidate users with similar interests can be recommended to the target user. The invention extracts reliable user interest features to realize user interest recommendation.

Description

technical field [0001] The present invention relates to the fields of computer vision and data mining, in particular to a method and system for mining user interest and user recommendation based on social pictures. Background technique [0002] With the development of Web2.0, social media has brought great changes to human life style. People are more and more willing to spend more time on online platforms and perform a series of activities, such as browsing websites, writing comments, feelings, and sharing pictures and videos. These activities record the details of people in the network environment, and also reflect their inner thoughts and preferences. By analyzing user data in social media and inferring users' ideological preferences, service providers can provide more friendly website services and explore potential business opportunities. [0003] The existing social media-based user interest analysis and user recommendation mainly include: modeling user interest and ma...

AI Technical Summary

Problems solved by technology

[0007] Aiming at one of the defects in the prior art, the object of the present invention is to provide a method and system for user interest mining and user recommendation based on social pictures, so as to solve the problem of ignoring the coupling relationship between text and pictures in the existing user interest analysis method problems, make full use of the complementary and partial correspondence between pictures and texts to extract reliable user interest features, realize user interest recommendations, and meet user needs

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