User portrait construction method for microblog heterogeneous information

Abstract

The invention relates to a user portrait construction method for the microblog heterogeneous information and belongs to the field of machine learning and deep learning. The method comprises the following steps of 1) collecting appropriate text and image data, and respectively training an image classification network and a text classification network; 2) using a crawler technology to crawl text and image information of a microblog, using the constructed classification network to obtain a label, namely a user-topic matrix, and using the user-topic matrix as a user portrait; 3) performing fuzzy clustering on user-topic, and discovering a user community; 4) performing keyword discovery on the microblogs classified by the user by using TF-IDF to obtain a topic-item matrix, and calculating associated words by using a knowledge graph thought; and 5) performing similarity user calculation on the community to which the users belong, selecting the users with relatively high similarity, repeating the method in the step 4), and selecting keywords as content supplementary recommendation according to a word frequency threshold. According to the invention, users with high similarity can be recommended to the users.

Description

technical field [0001] The invention belongs to the field of machine learning and deep learning, and relates to a method for constructing user portraits of microblog heterogeneous information. Background technique [0002] In the era of big data, with the rapid increase in the amount of data, Weibo users are facing problems brought about by the information explosion. It is particularly important to understand user characteristics by establishing user portraits for community discovery and community recommendation. There is a large amount of heterogeneous information in Weibo data, such as pictures, videos and texts. This information is effectively extracted through deep learning methods, and used as user characteristic information to form user portraits, which can facilitate community discovery and product recommendation for users. [0003] The existing microblog user portrait creation method mainly extracts user keywords through TF-IDF and LDA methods, which cannot briefly d...

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Problems solved by technology

[0006] In view of this, the purpose of the present invention is to provide a method for constructing user portraits of heterogeneous microblog information, which effectively utilizes heterogeneous microblog content to construct accurate interest portraits of microblog users, and solves the problem of inconsistencies in traditional modeling methods with fine-grained themes The problem

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