Clustering Technology Application in e-Commerce Recommendation System

Authors:
JingHui Wu;Qiang Liu;SiWen Luo
Affiliations:
-;-;-
Venue:
ICMECG '08 Proceedings of the 2008 International Conference on Management of e-Commerce and e-Government
Year:
2008

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Abstract

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.