In a competitive environment, providing suitable information and products to meet customer requirements and improve customer satisfaction is one key factor to measure a company's competitiveness. In this paper, we propose a preference perception system by combining fuzzy set with data mining technology to detect the information preference of each user on a web-based environment. An experiment was implemented to demonstrate the feasibility and effectiveness of the proposed system in this study. It indicates that the proposed system can effectively perceive the change of information preference for users in a Web environment. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Tai, W. S., & Chen, C. T. (2006). A web user preference perception system based on fuzzy data mining method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4182 LNCS, pp. 615–624). Springer Verlag. https://doi.org/10.1007/11880592_54
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