Paolo Viappiani

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Boi FaltingsEPFLVerified 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
Andrea PasseriniAssociate Professor, University of TrentoVerified email at disi.unitn.it
Paul WengDuke Kunshan UniversityVerified email at duke.edu
Alexis TsoukiàsCNRSVerified email at lamsade.dauphine.fr
Kevin ReganGoogleVerified email at kevinregan.com
Olivier SpanjaardSorbonne Université, CNRS, LIP6Verified email at lip6.fr
Stefano TesoSenior Assistant Professor, University of TrentoVerified email at unitn.it
Gabriella PigozziAssociate Professor of Computer Science, Université Paris Dauphine-PSL, FranceVerified email at dauphine.fr
Cristina ManfredottiAgroParisTechVerified email at agroparistech.fr
Matthieu ZimmerRL Research Scientist @ Huawei Noah’s Ark LabVerified email at matthieu-zimmer.net
Marc TorrensESADE Business SchoolVerified email at esade.edu
Giovanni De ToniUniversity of Trento, Fondazione Bruno Kessler, ELLISVerified email at unitn.it
Bruno LepriFondazione Bruno Kessler/Ipazia S.p.a.Verified email at fbk.eu
Neil Yorke-SmithDelft University of TechnologyVerified email at tudelft.nl
Bart PeintnerPrincipal AI Scientist, Vida HealthVerified email at vida.com
Nic WilsonUniversity College CorkVerified email at insight-centre.org

Paolo Viappiani

CNRS researcher, LAMSADE, Université Paris Dauphine PSL

Verified email at dauphine.psl.eu - Homepage

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	146	2006
Preferences in artificial intelligence G Pigozzi, A Tsoukias, P Viappiani Annals of Mathematics and Artificial Intelligence 77, 361-401, 2016	144	2016
Optimal bayesian recommendation sets and myopically optimal choice query sets P Viappiani, C Boutilier Advances in neural information processing systems 23, 2010	135	2010
Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems N Benabbou, P Perny, P Viappiani Artificial Intelligence 246, 152-180, 2017	90	2017
Teacher-student framework: a reinforcement learning approach M Zimmer, P Viappiani, P Weng AAMAS Workshop autonomous robots and multirobot systems, 2014	87	2014
Designing example-critiquing interaction B Faltings, P Pu, M Torrens, P Viappiani Proceedings of the 9th international conference on Intelligent user …, 2004	86	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	75	2009
Preferences in interactive systems: Technical challenges and case studies B Peintner, P Viappiani, N Yorke-Smith AI Magazine 29 (4), 13, 2008	62	2008
Conversational recommenders with adaptive suggestions P Viappiani, P Pu, B Faltings Proceedings of the 2007 ACM conference on Recommender systems, 89-96, 2007	56	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	54	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	45	2006
Constructive preference elicitation by setwise max-margin learning S Teso, A Passerini, P Viappiani IJCAI, 2067-2073, 2016	41*	2016
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	39	2006
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	33	2016
Preference-based search with adaptive recommendations P Viappiani, P Pu, B Faltings Ai Communications 21 (2-3), 155-175, 2008	33	2008
Incremental elicitation of Choquet capacities for multicriteria decision making N Benabbou, P Perny, P Viappiani ECAI 2014, 87-92, 2014	32	2014
Simultaneous elicitation of preference features and utility C Boutilier, K Regan, P Viappiani Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1160-1167, 2010	31	2010
Minimax regret approaches for preference elicitation with rank-dependent aggregators N Benabbou, C Gonzales, P Perny, P Viappiani EURO journal on Decision processes 3, 29-64, 2015	29	2015
Incremental preference elicitation in multi-attribute domains for choice and ranking with the borda count N Benabbou, S Di Sabatino Di Diodoro, P Perny, P Viappiani Scalable Uncertainty Management: 10th International Conference, SUM 2016 …, 2016	26	2016
On the equivalence of optimal recommendation sets and myopically optimal query sets P Viappiani, C Boutilier Artificial Intelligence 286, 103328, 2020	24	2020

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