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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