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User growth value scoring method and system based on user behaviors and social relationships

A social relationship and growth value technology, applied in the fields of natural language processing, social media, and information technology, can solve the problems of user representation algorithms ignoring users' high-order connection relationships and ignoring users' nonlinear interactions, and achieve the effect of enhancing features

Pending Publication Date: 2022-02-15
INST OF INFORMATION ENG CAS
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AI Technical Summary

Problems solved by technology

In addition, the user representation algorithm based on collaborative filtering ignores the user's high-order connection relationship, and the matrix decomposition process ignores the user's nonlinear interaction

Method used

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  • User growth value scoring method and system based on user behaviors and social relationships
  • User growth value scoring method and system based on user behaviors and social relationships
  • User growth value scoring method and system based on user behaviors and social relationships

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Embodiment Construction

[0034] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below through specific embodiments and accompanying drawings.

[0035] The user growth value system is a user management method designed by enterprises to better standardize user management and user group analysis. By recording the behavior of users on the platform within a period of time, companies can judge the activity of users on the platform and the value that users bring to the platform. On social platforms, a user's growth value can be understood as the user's activity and influence on the platform. Frequent logins and information updates by users on the platform will bring popularity to social software. At the same time, a large number of browsing behaviors of users can also drive the flow of information on the platform, bringing traffic and popularity to the content publishing end. In addition, use...

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Abstract

The invention relates to a user growth value scoring method and system based on user behaviors and social relationships. The method comprises the following steps: learning user behavior time sequence characteristics at different time levels according to original data of a user, acquiring content influence characteristics according to the influence of contents published by the user, and interacting the content influence characteristics with the user behavior time sequence characteristics to obtain user characteristics fused with the time sequence behaviors; learning weights of different neighbor users of the user by using an attention mechanism so as to obtain a weight matrix of the user; and inputting the user characteristics fused with the time sequence behaviors and the weight matrix of the user into a graph convolutional neural network to obtain a user growth value. According to the method, the problem of insufficient utilization of the social relationship in user feature learning is solved, and the accuracy of user growth value scoring is improved.

Description

technical field [0001] The invention belongs to the technical fields of information technology, social media, and natural language processing, and specifically relates to a user growth value scoring method and system based on user behavior and social relationship. Background technique [0002] In recent years, researchers at home and abroad have provided different solutions in the study of user influence on social network platforms. Cha et al. analyzed the influence of social network users from three perspectives: the number of fans, the number of retweets and the number of mentions, and finally found that the influence is not obtained spontaneously or accidentally, but through concerted efforts of all parties. Explain that in order to gain and maintain influence, users need to maintain a large personal involvement. Rab et al. used Bayesian networks to calculate the influence of users in the network. Dong Zhejin and others made improvements in user characteristics, and obt...

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Application Information

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IPC IPC(8): G06Q50/00G06N3/04G06N3/08G06K9/62G06F16/9536
CPCG06Q50/01G06N3/08G06F16/9536G06N3/048G06N3/045G06F18/24147G06F18/2411G06F18/25G06F18/24323
Inventor 林政付鹏刘欢张雨帆王伟平孟丹
Owner INST OF INFORMATION ENG CAS
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