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
Paul WengUniversity of Michigan-Shanghai Jiaotong University Joint InstituteVerified email at sjtu.edu.cn
Alexis TsoukiàsCNRSVerified email at lamsade.dauphine.fr
Kevin ReganGoogleVerified email at kevinregan.com
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
Neil Yorke-SmithDelft University of TechnologyVerified email at tudelft.nl
Matthieu ZimmerUniversity of Michigan-Shanghai Jiao Tong University Joint InstituteVerified email at matthieu-zimmer.net
Li ChenAssociate Professor, Hong Kong Baptist UniversityVerified email at comp.hkbu.edu.hk
Stefano TesoAssistant Professor, University of TrentoVerified email at unitn.it
Sandra ZillesProfessor, Computer Science, University of ReginaVerified email at cs.uregina.ca
Christian KroerAssistant Professor, Columbia UniversityVerified email at columbia.edu
Howard J HamiltonProfessor of Computer Science, University of ReginaVerified email at cs.uregina.ca
Enrico DiecidueProfessor of Decision Sciences, INSEADVerified email at insead.edu

Paolo Viappiani

CNRS researcher, LAMSADE, Université Paris Dauphine

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	132	2006
Optimal bayesian recommendation sets and myopically optimal choice query sets P Viappiani, C Boutilier Advances in neural information processing systems 23, 2010	109	2010
Preferences in artificial intelligence G Pigozzi, A Tsoukias, P Viappiani Annals of Mathematics and Artificial Intelligence 77 (3), 361-401, 2016	108	2016
Designing example-critiquing interaction B Faltings, P Pu, M Torrens, P Viappiani Proceedings of the 9th international conference on Intelligent user …, 2004	83	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	60	2009
Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems N Benabbou, P Perny, P Viappiani Artificial Intelligence 246, 152-180, 2017	58	2017
Preferences in interactive systems: Technical challenges and case studies B Peintner, P Viappiani, N Yorke-Smith AI Magazine 29 (4), 13, 2008	54	2008
Conversational recommenders with adaptive suggestions P Viappiani, P Pu, B Faltings Proceedings of the 2007 ACM conference on Recommender systems, 89-96, 2007	52	2007
Teacher-student framework: a reinforcement learning approach M Zimmer, P Viappiani, P Weng AAMAS Workshop Autonomous Robots and Multirobot Systems, 2014	51	2014
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	49	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	42	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	36	2006
Constructive preference elicitation by setwise max-margin learning S Teso, A Passerini, P Viappiani IJCAI, 2067-2073, 2016	32*	2016
Preference-based search with adaptive recommendations P Viappiani, P Pu, B Faltings Ai Communications 21 (2-3), 155-175, 2008	31	2008
Simultaneous elicitation of preference features and utility C Boutilier, K Regan, P Viappiani Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010	30	2010
Incremental elicitation of Choquet capacities for multicriteria decision making N Benabbou, P Perny, P Viappiani ECAI 2014, 87-92, 2014	28	2014
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	27	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	18	2015
Online feature elicitation in interactive optimization C Boutilier, K Regan, P Viappiani Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	18	2009
Acquiring user preferences for personal agents P Viappiani, P Pu, B Faltings Proceedings of the AAAI fall symposium, 53-59, 2002	18	2002

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