Account correlation method used for UGC (User Generated Content)-spanning website platform

Abstract

The invention discloses an account correlation method used for a UGC (User Generated Content)-spanning website platform and belongs to a method for correlating accounts of one entity user. The basic principle is that the plurality of accounts belonging to one entity user on different UGC website platforms are correlated by extracting characteristics from text content generated from UGC website accounts. The method comprises the following steps of obtaining data, pre-processing the data, extracting the characteristics and filtering layer by layer. The data obtaining step is used for collecting the text content generated from the user accounts of a target UGC website. The data pre-processing part is used for pre-processing the text content. The characteristic extracting step is used for extracting sex characteristics, age characteristics, geographic position activity characteristics and writing style characteristics from the text content respectively. The step of filtering layer by layer is used for filtering accounts which are not related to the given user accounts through the sex characteristics, the age characteristics, the geographic position activity characteristics and the writing style characteristics layer by layer in sequence. By the aid of the account correlation method, the problem that the accounts of one entity user on the different UGC websites are not related can be effectively solved and the practical value is very high.

Description

technical field [0001] The invention belongs to the field of Internet account analysis, and more specifically relates to a method for associating multiple accounts for cross-UGC website platforms for users belonging to the same entity. Background technique [0002] UGC (User Generated Content) websites mainly refer to online social networking sites and online forums based on user-generated content. At present, the famous UGC websites include Facebook, Twitter, Google+, Renren.com, Kaixin.com, Douban, Sina Weibo, Tencent Weibo, etc., have become the mainstream network platforms for sharing information. However, various UGC websites provide different types of services to netizens. For example, Facebook, Google+, and Renren mainly provide social services for users. Twitter, Sina Weibo, and Tencent Weibo allow users to share their latest developments and ideas. Taobao and JD.com are mainly used for e-commerce. Therefore, the information we obtain will be different in different...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is: aiming at the deficiencies of the prior art, through improvements in account modeling and account association methods, a new user account association method for cross-UGC website platforms is proposed, which solves the problem of traditional account association methods User characteristics are unstable, the error is relatively large, and user characteristics cannot be fully and effectively used, thereby improving the accuracy and robustness of user account association across UGC website platforms

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