Automatic Content-Based Recommendation in e-Commerce

Authors:
Chen Jian;Yin Jian;Huang Jin
Affiliations:
Zhongshan University, China;Zhongshan University, China;Zhongshan University, China
Venue:
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Year:
2005

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Abstract

The amount of information in e-Commerce is increasing far more quickly than our ability to process. Recommender systems apply knowledge discovery techniques to help people find what they really want. However, all of the previous approaches have an important drawback: items added newly cannot be found. In this paper, a general framework is proposed for supporting automatic recommendation of the new item to the potential users based on the concept of influent sets. We propose a simple efficient indexing structure and a heuristic information retrieval technique algorithm for searching reverse k nearest neighbour in high-dimensional dataset. And experimental evaluation reveals that our approach outperforms the previous algorithm and enhances the performance efficiently.