Fake User Detection

This project investigates whether a user’s entered information in e-commerce sites is fake or real. In order to achieve the goal of understanding and identifying fake users, data are to be collected, managed, and analyzed. In addition to using existing data from the e-commerce partner organization and some third-party data if available, the two major tasks are data collection and data analysis. Customizable tools for data collection and analysis are to be designed, implemented and deployed in collaboration with the partner organization. If meaningful analysis results are obtained, a real user confidence-level system can be designed based on a user’s profile, thus facilitating targeted and priority marketing to potential real customers.

Faculty Supervisor:

Kin Fun Li

Student:

Partner:

VINN Auto

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Victoria

Program: