Building and evaluating a location-based service recommendation system with a preference adjustment mechanism

Authors:
Mu-Hsing Kuo;Liang-Chu Chen;Chien-Wen Liang
Affiliations:
School of Health Information Science, The University of Victoria, P.O. Box 3050, STN CSC, Victoria, British Columbia, Canada V8W 3P5;Department of Information Management, National Defense University, Taiwan;Division of Mobilization Management, Ministry of Reserve Command, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

The location-based service (LBS) of mobile communication and the personalization of information recommendation are two important trends in the development of electric commerce. However, many previous researches have only emphasized on one of the two trends. In this paper, we integrate the application of LBS with recommendation technologies to present a location-based service recommendation model (LBSRM) and design a prototype system to simulate and measure the validity of LBSRM. Due to the accumulation and variation of preference, in the recommendation model we conduct an adaptive method including long-term and short-term preference adjustment to enhance the result of recommendation. Research results show, with the assessments of relative index, the rate of recommendation precision could be 85.48%.