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A major limitation of most existing retrieval models and systems is that the retrieval decision is made based solely on the query and document collection; information about the actual user and search context is largely ignored. In this paper, we study how to exploit implicit feedback information, including previous queries and clickthrough information, to improve retrieval accuracy in an interactive information retrieval setting. We propose several contextsensitive retrieval algorithms based ondoi:10.1145/1076034.1076045 dblp:conf/sigir/ShenTZ05 fatcat:d2h5c5dunvardnphpfqgsdjcbm