Implicit Feedback for Recommender Systems

@inproceedings{Oard1998ImplicitFF,
  title={Implicit Feedback for Recommender Systems},
  author={Douglas W. Oard and Jinmook Kim},
  year={1998}
}
Can implicit feedback substitute for expli cit ratings in recommender systems? If so, we could avoid the diff iculties associated with gathering explicit ratings from users. How, then, can we capture useful information unobtrusively, and how might we use that information to make recommendations? In this paper we identify three types of impli cit feedback and suggest two strategies for using implicit feedback to make recommendations. 
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