Active Collaborative Filtering

  title={Active Collaborative Filtering},
  author={Craig Boutilier and Richard S. Zemel and Benjamin M. Marlin},
Collaborative filtering (CF) allows the preferences of multiple users to be pooled to make recommendations regarding unseen products. We consider in this paper the problem of online and interactive CF: given the current ratings associated with a user, what queries (new ratings) would most improve the quality of the recommendations made? We cast this in terms of expected value of information (EVOI) ; but the online computational cost of computing optimal queries is prohibitive. We show how… CONTINUE READING
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