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, based on category-based filtering and user stereotypes. © 2002 Springer-Verlag Berlin Heidelberg.
2nd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2002; Malaga; 29 May 2002 through 31 May 2002