On the Limitations of Browsing Top-N Recommender Systems.
Sprache des Titels:
Proceedings of the 3rd ACM Conference on Recommender Systems.
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.