User Pro les Using Relational Competitive Fuzzy
نویسندگان
چکیده
منابع مشابه
Extracting Web User Profiles Using Relational Competitive Fuzzy Clustering
The proliferation of information on the World Wide Web has made the personalization of this information space a necessity. An important component of Web personalization is to mine typical user pro les from the vast amount of historical data stored in access logs. In the absence of any a priori knowledge, unsupervised classi cation or clustering methods seem to be ideally suited to analyze the s...
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User profiling is a fundamental task in Web personalization. In this paper, we use a relational fuzzy clustering to discover user profiles from Web log data. Precisely, a modified version of the CARD algorithm, called CARD+, is proposed to discover clusters embedded in the Web usage data and derive profiles modeling the real user preferences. Experimental results on log data extracted from log ...
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