Title :
Clustering Technology Application in e-Commerce Recommendation System
Author :
Jinghui Wu ; Qiang Liu ; Siwen Luo
Author_Institution :
Jiangxi key Lab. of Data & Knowledge Eng., Jiangxi Univ. of Finance & Econ., Nanchang
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.
Keywords :
electronic commerce; information filtering; clustering technology application; collaborative filtering; computation complexity; content-based filtering; e-commerce recommendation system; information filtering technology; real-time response speed; Collaboration; Conference management; Data mining; Electronic commerce; Financial management; Information filtering; Information filters; Knowledge management; Matched filters; Technology management; Clustering; Collaborative Filtering; Electronic commerce; Recommendation System;
Conference_Titel :
Management of e-Commerce and e-Government, 2008. ICMECG '08. International Conference on
Conference_Location :
Jiangxi
Print_ISBN :
978-0-7695-3366-7
DOI :
10.1109/ICMECG.2008.31
