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- W2292551320 abstract "This paper presents a probabilistic method for classifying folksonomy users to folksonomy sub-domains and identifying their particular interests. In particular, we propose a method for mining topic hierarchies that may reveal either the collective or the user-specific conceptualization of those domains, as these are reflected by users' tags. We then propose two alternatives for identifying users' interests in the domains: The first exploits users' tags directly, and the second exploits users' specific conceptualizations of each domain. Both approaches use the collective domain conceptualizations as reference, to which users' tags and conceptualizations are compared. The proposed statistical method is parametric-less and does not require any prior knowledge or external resources. We apply the proposed method on the Del.icio.us online bookmarking system and we provide experimental results." @default.
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- W2292551320 date "2011-10-24" @default.
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- W2292551320 title "Classifying users and identifying user interests in folksonomies" @default.
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