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The objective of this paper is to analyze web logs using data mining so as to present users with more personalized web content. We classify users based on their internet usage patterns and for each class, maintain a cache of web documents. Searching is performed based on term set analysis and direction cosine distance approach. Finally a more personalized and relevant result set is generated for the query.
Date of Conference: 15-17 March 2012