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Information Technology Journal
Year: 2011  |  Volume: 10  |  Issue: 3  |  Page No.: 541 - 548

Developing a Case-based Reasoning System of Leisure Constraints

Fei-Rung Chiu, Cheng-Yi Wang, Yu-Cheng Huang and Yan-Kwang Chen    

Abstract: This study applies the Case-Based Reasoning (CBR) technique to develop a case repository-based leisure constraints inference system. This system is expected to predict the type of leisure constraints that visitors encounter and help leisure service providers in negotiation of the constraints and strategic marketing. Empirical findings suggest that the hit rate of the proposed system for visitors’ leisure constraints reaches 54.83%.

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