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On the limitations of browsing top-N recommender systems

Published:23 October 2009Publication History

ABSTRACT

To exploit the enormous potential of niche products, modern information systems must support users in exploring digital libraries and online catalogs. A straight-forward way of doing so is to support browsing the available items, which is in general realized by presenting a user the top-N recommendations for each item. However, recent research indicates that most of the niche products reside in the so-called Long Tail, and simple collaborative filtering-based recommender systems alone do not allow to explore these niche products. In this paper we show that it is not only a popularity problem related to the collaborative filtering approach that makes a portion of the elements of a digital library inaccessible via browsing, but also a consequence of the top N-recommendation approach itself.

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              cover image ACM Conferences
              RecSys '09: Proceedings of the third ACM conference on Recommender systems
              October 2009
              442 pages
              ISBN:9781605584355
              DOI:10.1145/1639714

              Copyright © 2009 ACM

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              Publication History

              • Published: 23 October 2009

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