Fraudulent Behavior Identification System Based on Machine Learning in Classified Information Website

Abstract

The invention provides a method used for a fraudulent conduct identification system based on machine learning in a classified information website. The method includes the following steps that (a), sample data are extracted based on existing user behavior data and used for generating a model for the first time; (b), multiple user behavior characteristics are selected to be extracted according to training data of different service types; (c), based on the extracted user behavior characteristics, the sample training data are vectorized; (d), the vectorized sample training data are used for generating a prediction model; (e), on-line data are detected by using the generated model based on classification and cluster rules; (f), detected abnormal user data are processed. User behaviors can be identified in multiple dimensions through the method, and the false amount of trade information can be reduced efficiently. Moreover, the user behaviors of low quality can be identified well even if the training data contain noise data.

Description

technical field [0001] The invention relates to Internet technology, in particular to a machine learning-based fraud identification system in a classified information website. Background technique [0002] Classified information network is a newly emerging type of website on the Internet that involves all aspects of daily life. In these websites, users can obtain free and convenient information publishing services, including second-hand goods transactions, second-hand car sales, house rental and sales, pets, recruitment, part-time jobs, job hunting, dating activities, life service information, etc. Classified information is also called classified advertisements. The advertisements that people see on TV and newspapers are often imposed on the viewers whether they are willing or not. This type of advertisement is a passive advertisement; while people actively inquire about recruitment, Information on renting, traveling, etc., for this information, it is called active advertis...

AI Technical Summary

Problems solved by technology

In the existing methods, the identification of rules can only be distinguished by using linear classification planes, resulting in most of the inferior information not being recognized and processed by the system

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