Paolo Viappiani

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Boi FaltingsEcole Polytechnique Federale de Lausanne (EPFL)Verified email at epfl.ch
Pearl PuMaître d'enseignement et de recherche (senior scientist), EPFLVerified email at epfl.ch
Craig BoutilierPrincipal Scientist, GoogleVerified email at google.com
Patrice PernyProfesseur d'informatique, Université Pierre et Marie Curie (Paris 6)Verified email at lip6.fr
Nawal BenabbouAssistant Professor, Sorbonne Université, ParisVerified email at lip6.fr
Paul WengUniversity of Michigan-Shanghai Jiaotong University Joint InstituteVerified email at sjtu.edu.cn
Kevin ReganGoogleVerified email at cs.toronto.edu
Olivier SpanjaardSorbonne Université, CNRS, LIP6Verified email at lip6.fr
Andrea PasseriniAssociate Professor, University of TrentoVerified email at disi.unitn.it
Gabriella PigozziAssociate Professor of Computer Science, Université Paris-Dauphine, FranceVerified email at dauphine.fr
Marc TorrensESADE Business SchoolVerified email at esade.edu
Stefano TesoResearcher, University of TrentoVerified email at unitn.it
Neil Yorke-SmithDelft University of TechnologyVerified email at tudelft.nl
Li ChenAssociate Professor, Hong Kong Baptist UniversityVerified email at comp.hkbu.edu.hk
Matthieu ZimmerUniversity of Michigan-Shanghai Jiao Tong University Joint InstituteVerified email at matthieu-zimmer.net
Sandra ZillesProfessor, Computer Science, University of ReginaVerified email at cs.uregina.ca
Howard J HamiltonProfessor of Computer Science, University of ReginaVerified email at cs.uregina.ca
Christian KroerAssistant Professor, Columbia UniversityVerified email at columbia.edu
esther nicartCaen UniversityVerified email at unicaen.fr
Nic WilsonUniversity College CorkVerified email at insight-centre.org

Paolo Viappiani

CNRS researcher, LIP6, Sorbonne Université

Verified email at lip6.fr

Artificial Intelligence Algorithmic Decision Theory Recommender Systems Computational Social Choice Machine Learning


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Preference-based search using example-critiquing with suggestions P Viappiani, B Faltings, P Pu Journal of artificial intelligence Research 27, 465-503, 2006	125	2006
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets. P Viappiani, C Boutilier NIPS, 2352-2360, 2010	94	2010
Preferences in artificial intelligence G Pigozzi, A Tsoukias, P Viappiani Annals of Mathematics and Artificial Intelligence 77 (3), 361-401, 2016	83	2016
Designing example-critiquing interaction B Faltings, P Pu, M Torrens, P Viappiani Proceedings of the 9th international conference on Intelligent user …, 2004	79	2004
Regret-based optimal recommendation sets in conversational recommender systems P Viappiani, C Boutilier Proceedings of the third ACM conference on Recommender systems, 101-108, 2009	54	2009
Preferences in interactive systems: Technical challenges and case studies B Peintner, P Viappiani, N Yorke-Smith AI Magazine 29 (4), 13, 2008	53	2008
Conversational recommenders with adaptive suggestions P Viappiani, P Pu, B Faltings Proceedings of the 2007 ACM conference on Recommender systems, 89-96, 2007	49	2007
Usability guidelines for product recommenders based on example critiquing research P Pu, B Faltings, L Chen, J Zhang, P Viappiani Recommender systems handbook, 511-545, 2011	46	2011
Increasing user decision accuracy using suggestions P Pu, P Viappiani, B Faltings Proceedings of the SIGCHI conference on Human Factors in computing systems …, 2006	40	2006
Evaluating preference-based search tools: a tale of two approaches P Viappiani, B Faltings, P Pu Proceedings of the Twenty-first National Conference on Artificial …, 2006	35	2006
Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems N Benabbou, P Perny, P Viappiani Artificial Intelligence 246, 152-180, 2017	34	2017
Teacher-student framework: a reinforcement learning approach M Zimmer, P Viappiani, P Weng AAMAS Workshop Autonomous Robots and Multirobot Systems, 2014	32	2014
Preference-based search with adaptive recommendations P Viappiani, P Pu, B Faltings Ai Communications 21 (2-3), 155-175, 2008	28	2008
Simultaneous elicitation of preference features and utility C Boutilier, K Regan, P Viappiani Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010	27	2010
Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making. N Benabbou, P Perny, P Viappiani ECAI 2014, 87-92, 2014	25	2014
Constructive preference elicitation by setwise max-margin learning S Teso, A Passerini, P Viappiani IJCAI, 2067-2073, 2016	24	2016
Acquiring user preferences for personal agents P Viappiani, P Pu, B Faltings Proceedings of the AAAI fall symposium, 53-59, 2002	18	2002
Incremental preference elicitation for decision making under risk with the rank-dependent utility model P Perny, P Viappiani, A Boukhatem Uncertainty in Artificial Intelligence, 2016	17	2016
Minimax regret approaches for preference elicitation with rank-dependent aggregators N Benabbou, C Gonzales, P Perny, P Viappiani EURO journal on Decision processes 3 (1), 29-64, 2015	16	2015
The lookahead principle for preference elicitation: Experimental results P Viappiani, B Faltings, P Pu International Conference on Flexible Query Answering Systems, 378-389, 2006	16	2006

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