Getting to know you: learning new user preferences in recommender systems

  title={Getting to know you: learning new user preferences in recommender systems},
  author={Al Mamunur Rashid and Istvan Albert and Dan Cosley and Shyong K. Lam and Sean M. McNee and Joseph A. Konstan and John Riedl},
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… CONTINUE READING
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