Selecting type of clusters that are most appropriate for capturing overlapping interests of different types of users in personalization tasks using Web Usage Mining
Journal Title: International Journal of Computer Science and Information Technologies - Year 2010, Vol 1, Issue 2
Abstract
Clustering is one of the most important phase of the web personalization, so selecting proper types of cluster to justify the user interest for creating user profile is again very important. In this paper, we address the problem, which types of cluster are most appropriate for personalization task and how to identify and make use of such cluster in personalization. If user interest is overlapped amongst the cluster then which one or others are most appropriate for users likes. We have to find the parameters that are required to select the clusters that potentially capture overlapping interests of different types of users
Authors and Affiliations
Sanjay B. Thakare , Sangram Z. Gawali
Keywords
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