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 author       = {Mark Claypool and Phong Le and Makoto Wased and David Brown},
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 title        = {Implicit interest indicators},
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 publisher    = {ACM},
 address      = {New York, NY, USA},
 pages        = {33--40},
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 author       = {A. Eckhardt and T. Horvath and P. Vojtas},
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 title        = {PHASES: A User Profile Learning Approach for Web Search},
 booktitle    = {Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence},
 series       = {WI '07},
 publisher    = {IEEE Computer Society},
 address      = {Washington, DC, USA},
 pages        = {780--783},
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 year         = {2012},
 title        = {A Latent Pairwise Preference Learning Approach for Recommendation from Implicit Feedback},
 booktitle    = {Proceedings of the 21st ACM International Conference on Information and Knowledge Management},
 series       = {CIKM '12},
 publisher    = {ACM},
 address      = {New York, NY, USA},
 pages        = {2567--2570},
 doi          = {10.1145/2396761.2398693},
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 author       = {Yifan Hu and Yehuda Koren and Chris Volinsky},
 year         = {2008},
 title        = {Collaborative Filtering for Implicit Feedback Datasets},
 booktitle    = {Proceedings of the 2008 Eighth IEEE International Conference on Data Mining},
 series       = {ICDM '08},
 publisher    = {IEEE Computer Society},
 address      = {Washington, DC, USA},
 pages        = {263--272},
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 year         = {2012},
 title        = {User Interest Prediction Based on Behaviors Analysis},
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 title        = {Content-based Recommender Systems: State of the Art and Trends},
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 publisher    = {Springer US},
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 year         = {2014},
 title        = {IPIget: The Component for Collecting Implicit User Preference Indicators},
 booktitle    = {ITAT 2014: Information Technologies - Applications and Theory},
 series       = {ITAT '14},
 publisher    = {Ustav informatiky AV CR},
 pages        = {22--26},
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 year         = {2011},
 title        = {UPComp - A PHP Component for Recommendation Based on User Behaviour},
 booktitle    = {Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03},
 series       = {WI-IAT '11},
 publisher    = {IEEE Computer Society},
 address      = {Washington, DC, USA},
 pages        = {306--309},
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 author       = {Ladislav Peska and Alan Eckhardt and Peter Vojtas},
 year         = {2015},
 title        = {Preferential Interpretation of Fuzzy Sets in E-shop Recommendation with Real Data Experiments},
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 volume       = {2},
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@inproceedings(pp2015,
 author       = {Ladislav Peska and Peter Vojtas},
 year         = {2015},
 title        = {How to Interpret Implicit User Feedback?},
 booktitle    = {Poster Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015)},
 volume       = {1441},
 publisher    = {CEUR-WS},
 url          = {http://ceur-ws.org/Vol-1441/recsys2015_poster8.pdf},
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 title        = {Using Implicit Preference Relations to Improve Recommender Systems},
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 pages        = {1--16},
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 title        = {Online Learning to Diversify from Implicit Feedback},
 booktitle    = {Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
 series       = {KDD '12},
 publisher    = {ACM},
 address      = {New York, NY, USA},
 pages        = {705--713},
 doi          = {10.1145/2339530.2339642},
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 title        = {BPR: Bayesian Personalized Ranking from Implicit Feedback},
 booktitle    = {Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence},
 series       = {UAI '09},
 publisher    = {AUAI Press},
 address      = {Arlington, Virginia, United States},
 pages        = {452--461},
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 year         = {2012},
 title        = {Exploiting Various Implicit Feedback for Collaborative Filtering},
 booktitle    = {Proceedings of the 21st International Conference Companion on World Wide Web},
 series       = {WWW '12 Companion},
 publisher    = {ACM},
 address      = {New York, NY, USA},
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 year         = {2014},
 title        = {Beyond Clicks: Dwell Time for Personalization},
 booktitle    = {Proceedings of the 8th ACM Conference on Recommender Systems},
 series       = {RecSys '14},
 publisher    = {ACM},
 address      = {New York, NY, USA},
 pages        = {113--120},
 doi          = {10.1145/2645710.2645724},
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