Establishment and application method and device of user recommendation model in social network

Abstract

The invention discloses a method and device for establishing and applying a user recommendation model in a social network, which can recommend users in a social network based on heterogeneous data, so as to solve the technical problem that the existing technology cannot meet the current user recommendation requirements. In some feasible embodiments of the present invention, a method for establishing a user recommendation model in a social network includes: acquiring training data from a social network, where the training data includes text data, image data and user-related data; Perform heterogeneous data migration learning to learn the semantics of the training data; use the text data as an intermediary to open up the connection between the user and the image data, according to the semantics of the training data and the connection between the user and the image data, in the image A semantic relationship is established between the data and the user; a user recommendation model is established according to the semantic relationship, and the user recommendation model includes the semantic relationship between the image data and the user.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and device for establishing a user recommendation model in a social network. Background technique [0002] Social networking, such as Weibo, has become an essential part of the lives of ordinary users. In Weibo, following well-known Weibo users who are interested, that is, the so-called Weibo big V users, is the first and most important step for users to use Weibo. As long as this step is done well, it can greatly satisfy user's data needs. Due to the huge number of Weibo Big V users, it is impossible for users to find interested Weibo Big V users by browsing. Since the user's data needs are difficult to express in very short words, it is impossible for the user to use the search method to find enough Weibo big V users. It is a very effective way to recommend Weibo big V users to users. [0003] However, social network data such as Weibo includes multiple type...

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method and device for establishing and applying a user recommendation model in a social network, which can perform user recommendation based on heterogeneous data, so as to solve the technical problem that the existing technology is difficult to meet the current user recommendation requirements

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