Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Performance Evaluation of Some Clustering Algorithms and Validity Indices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Similarity-Based Fuzzy Clustering for User Profiling
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
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In this paper, we present a system designed to discover recommendation fuzzy rules useful to provide personalized link suggestions to the users of a Web site. The system is mainly based on two processes. A fuzzy clustering process is applied to identify user categories by grouping users with similar interests. Then, a neuro-fuzzy strategy is applied to derive a set of recommendation fuzzy rules. A tool for the proposed system provides a wizard-based interface made of a sequence of panels that support users in the overall rule extraction process. An illustrative example is provided to show the performance of the system through the use of the developed tool.