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Using Implicit Preference Relations to Improve Recommender Systems.

, and . J. Data Semant., 6 (1): 15-30 (2017)

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Logic Programming in RPL and RQL., and . SOFSEM, volume 1012 of Lecture Notes in Computer Science, page 487-492. Springer, (1995)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)Discussion on Uncertainty Ontology for Annotation and Reasoning., , , and . URSW, volume 423 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Understanding Transparent and Complicated Users as Instances of Preference Learning for Recommender Systems., , and . MEMICS, volume 9548 of Lecture Notes in Computer Science, page 23-34. Springer, (2015)Ontology Engineering Relationally., , and . EJC, volume 206 of Frontiers in Artificial Intelligence and Applications, page 275-282. IOS Press, (2009)A System Recommending Top-k Objects for Multiple Users Preferences., , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Towards Complex User Feedback and Presentation Context in Recommender Systems., and . BTW (Workshops), volume P-266 of LNI, page 203-207. GI, (2017)Aggregation for Flexible Challenge Response., and . FQAS, volume 12871 of Lecture Notes in Computer Science, page 209-222. Springer, (2021)Knowledge Processing for Web Search - An Integrated Model and Experiments., , , , , , and . Scalable Comput. Pract. Exp., (2008)Learning User Preferences for 2CP-Regression for a Recommender System., and . SOFSEM, volume 5901 of Lecture Notes in Computer Science, page 346-357. Springer, (2010)