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Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations.

, and . EC-Web, volume 188 of Lecture Notes in Business Information Processing, page 138-145. Springer, (2014)

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A System Recommending Top-k Objects for Multiple Users Preferences., , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Ontology Engineering Relationally., , and . EJC, volume 206 of Frontiers in Artificial Intelligence and Applications, page 275-282. IOS Press, (2009)Knowledge Processing for Web Search - An Integrated Model and Experiments., , , , , , and . Scalable Comput. Pract. Exp., (2008)Basis Functions as Pivots in Space of Users Preferences., , and . ADBIS (Short Papers and Workshops), volume 637 of Communications in Computer and Information Science, page 45-53. Springer, (2016)Logic Programming in RPL and RQL., and . SOFSEM, volume 1012 of Lecture Notes in Computer Science, page 487-492. Springer, (1995)Towards Complex User Feedback and Presentation Context in Recommender Systems., and . BTW (Workshops), volume P-266 of LNI, page 203-207. GI, (2017)Discussion on Uncertainty Ontology for Annotation and Reasoning., , , and . URSW, volume 423 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Evaluating the Importance of Various Implicit Factors in E-commerce., and . RUE@RecSys, volume 910 of CEUR Workshop Proceedings, page 51-55. CEUR-WS.org, (2012)How to Interpret Implicit User Feedback?, and . RecSys Posters, volume 1441 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Evaluating Natural User Preferences for Selective Retrieval., and . Web Intelligence/IAT Workshops, page 104-107. IEEE Computer Society, (2009)978-0-7695-3801-3.