Clustering Technology Application in e-Commerce Recommendation System
Jing Hui Wu, Qiang Liu, Siwen Luo · 2008
This article analyses two kinds of information filtering technologies used in the e-commerce recommendation system: content-based filtering and collaborative filtering. On the foundation of collaborative filtering, we research the influential role of cluster technology to improve the recommendation system quality, to reduce the computation complexity, and to enhance the system real-time response speed.