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Exploiting various implicit feedback for collaborative filtering
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
So far, many researchers have worked on recommender systems using users' implicit feedback, since it is difficult to collect explicit item preferences in most applications. Existing researches generally use a pseudo-rating matrix by adding up the number of item consumption; however, this naïve approach may not capture user preferences correctly in that many other important user activities are ignored. In this paper, we show that users' diverse implicit feedbacks can be significantly used to
doi:10.1145/2187980.2188166
dblp:conf/www/YangLPL12
fatcat:lvcuovjyybhsbe6t5fc5db55rq