Context-Aware recommendation service using multi-leveled information in mobile commerce

Authors:
Joonhee Kwon;Sungrim Kim
Affiliations:
Department of Computer Science, Kyonggi University, Suwon-si, Kyonggi-do, Korea;Department of Internet Information, Seoil College, Seoul, Korea
Venue:
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Year:
2006

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Abstract

Recommender systems are being used by an ever-increasing number of electronic commerce applications to help consumers find products to purchase. Recommender systems in mobile commerce should be context-aware to understand each consumer’s contexts anywhere at anytime. This paper proposes a new context-aware recommendation service that enables consumers to obtain relevant information efficiently by using multi-leveled information. This paper describes the recommendation method and presents application scenario that utilizes the method. Several experiments are performed and the results verify that the proposed method’s recommendation performance is better than other existing methods.