Web user segmentation using sequence alignment

Abstract

Nowadays, with the rapid advances in e-commerce, user interest understanding becomes more and more essential in order to benefit the business. Users reveal this kind of interest through their behavior during their sessions in e-commerce applications. In this paper, we present the approach using sequence alignment for web sessions to evaluate the user behavior similarity in order to segment them. The segmentation result is applicable for real-time web prediction and recommendation.

Keywords

• khai phá dữ liệu web
• so sánh chuỗi
• phân loại người dùng
• thương mại điện tử.