User account association method and device based on cooperative game support vector machine

Abstract

The invention relates to a user account association method and device based on a cooperative game support vector machine. The method comprises the steps of: constructing an account pair set through accounts in a source network and accounts in a target network by adopting the Pairwise thought, dividing into a training set and a testing set, and performing training by using a Gaussian kernel support vector machine; for the account pairs in the testing set, respectively calculating the posterior probability through a model, performing sorting, and constructing a preference sequence set; according to the reference sequence set of each account, performing stable matching to obtain the association result among all the accounts; and, on the basis of the reference sequence of the accounts, increasing the associated accounts as the priori knowledge, improving the association priority in a stable matching algorithm through the priori knowledge, and finally obtaining an enhanced account association result. The method disclosed by the invention is simple and easy to realize; accounts associated with users can be found accurately and effectively; the technological basis is provided for comprehensively understanding and knowing users, and sufficiently managing, controlling and detecting the users; and thus, the method has relatively high practical application value.

Description

technical field [0001] The invention belongs to the technical field of network analysis, and in particular relates to a user account association method and device thereof based on a cooperative game support vector machine. Background technique [0002] In the past ten years, various services in the network have grown rapidly. The resulting virtual social accounts of online anonymous users have sprung up exponentially. As of the third quarter of 2016, Facebook's active users reached 1.79 billion, which means that more than half of the world's 3 billion Internet users browse Facebook at least once a month. 65% of them, or about 1.18 billion users, log in every day. However, some traditional social networking sites are now facing great development problems. According to Twitter’s 2016 Q3 results, the average growth rate of its monthly active users is only about 3%. As of the third quarter of 2016, the number of monthly active users was 317 million, while the monthly active u...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies in the prior art, the present invention provides a user account association method and device based on cooperative game support vector machine, which can effectively solve the problem of user account association in sparse data, and the method is simple and easy to operate and implement

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