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This paper is concerned with a problem in information organization and retrieval within Web communities. Most work in this domain is focused on reputation-based systems which exploit the experience gathered by previous users in order to evaluate resources at the community level. The current research focuses on a slightly different approach: a personalized evaluation system whose goal is to build a...
Web session clustering is one of the important Web usage mining techniques which aims to group usage sessions on the basis of some similarity measures. In this paper we describe a new Web session clustering algorithm that uses particle swarm optimization. We review the existing Web usage clustering techniques and propose a swarm intelligence based PSO-clustering algorithm for the clustering of Web...
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