User-modeling and recommendation based on mouse-tracking for e-commerce websites

Abstract

Emerging trend of recent online marketing has lead researchers to discover a way for the e-commerce websites to support its large number of users in the best possible manner. Meeting up with user's satisfaction is a difficult task. This paper focuses on how user-modeling and recommendation by mouse-tracking can be used for construction of an intelligent e-commerce website that can identify and fulfill all the needs of users.