Category-Based Filtering in Recommender Systems for Improved Performance in Dynamic Domains

Abstract

In Recommender systems, collaborative filtering is the most commonly used technique. Although often successful, collaborative filtering encounters the latency problem in domains where items are frequently added, as the users have to review new items before they can be recommended. In this paper a novel approach to reduce the latency problem is proposed… (More)
DOI: 10.1007/3-540-47952-X_55

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