Mining User Access Patterns at E-Commerce Sites

Abstract

The method and application of mining user access patterns at e-commerce sites are addressed. The techniques of data pre-processing are discussed. The Frame filtering technique, search engine robots detecting technique, session sub-sequence generating technique are proposed. And, the three applications of user access patterns mining are discussed, which include site performance improving, personalization and business intelligence. Finally, the method of understanding and mining user access patterns on semantic is proposed.