A social network account mapping model training method, mapping method and system

Abstract

The present invention provides a social network account mapping model training method, comprising: 1) performing pairwise combination of any account in the microblog s account set with known mapping relationship with any account in the microblog t account set to form training 2) Extract the account combination feature vector for each account combination, including: the text features of the two accounts in the account combination, the social relationship features of the two accounts in their respective microblogs, and the extended common features of the two accounts. Neighbor characteristics, extended common neighbors are those neighbor account pairs known to belong to the same natural person among the neighbor accounts of the two accounts; 3) training based on machine learning technology to obtain a social network account mapping model. The invention also provides a corresponding social network account mapping method and system. The invention can reduce the adverse effect of relational data sparsity on the mapping result, and effectively improve the accuracy of social network account mapping.

Description

technical field [0001] The present invention relates to the field of social computing, in particular, the present invention relates to a social network account mapping method and system. Background technique [0002] Nowadays, more and more people use social networks around the world, and people usually carry out social behaviors such as posting information and contacting others through multiple social networks. In different social networks, multiple accounts belonging to the same user are mostly isolated from each other, and generally there is no connection between them. However, these social networks do not have a unified organization or cooperation to connect data, thus making it difficult to obtain a set of accounts belonging to the same user. If the collection of accounts belonging to the same user in different social networks can be obtained, more valuable services can be provided in aspects such as link recommendation and community analysis based on multiple social n...

AI Technical Summary

Problems solved by technology

However, if the existing account mapping scheme is directly used for account alignment across social networks, its accuracy and mapping probability are insufficient.

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