BibTeX
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Getting to know you: Learning new user preferences in recommender systems
by: A. Rashid and I. Albert and D. Cosley and S. Lam and S. Mcnee and J. Konstan and J. Riedl
(2002)
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Abstract
Recommender systems have become valuable resources for users seeking intelligent ways to search through the enormous volume of information available to them. One crucial unsolved problem for recommender systems is how best to learn about a new user. In this paper we study six techniques that collaborative filtering recommender systems can use to learn about new users. These techniques select a sequence of items for the collaborative filtering system to present to each new user for rating. The...
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