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Modeling the impact of short- and long-term behavior on search personalization
2012
Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12
User behavior provides many cues to improve the relevance of search results through personalization. One aspect of user behavior that provides especially strong signals for delivering better relevance is an individual's history of queries and clicked documents. Previous studies have explored how short-term behavior or long-term behavior can be predictive of relevance. Ours is the first study to assess how short-term (session) behavior and long-term (historic) behavior interact, and how each may
doi:10.1145/2348283.2348312
dblp:conf/sigir/BennettWCDBBC12
fatcat:gmqw57y5bbburkh7bukjslqbr4