Improving recommendation lists through topic diversification
WWW, pp. 22-32, 2005.
novel methodindividual recommendationpresent topic diversificationpersonalized recommendation listrecommendation listMore(13+)
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spectrum of interests. Though being detrimental to average accuracy, we show that our method improves user satisfaction with recommendation lists, in particular for lists...More
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