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
Andrea PasseriniAssociate Professor, University of TrentoVerified email at disi.unitn.it
Alexis TsoukiàsCNRSVerified email at lamsade.dauphine.fr
Kevin ReganGoogleVerified email at kevinregan.com
Olivier SpanjaardSorbonne Université, CNRS, LIP6Verified email at lip6.fr
Gabriella PigozziAssociate Professor of Computer Science, Université Paris-Dauphine, FranceVerified email at dauphine.fr
Stefano TesoAssistant Professor, University of TrentoVerified email at unitn.it
Marc TorrensESADE Business SchoolVerified email at esade.edu
Matthieu ZimmerUniversity of Michigan-Shanghai Jiao Tong University Joint InstituteVerified email at matthieu-zimmer.net
Neil Yorke-SmithDelft University of TechnologyVerified email at tudelft.nl
Li ChenAssociate Professor, Hong Kong Baptist UniversityVerified email at comp.hkbu.edu.hk
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
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	134	2006
Preferences in artificial intelligence G Pigozzi, A Tsoukias, P Viappiani Annals of Mathematics and Artificial Intelligence 77, 361-401, 2016	120	2016
Optimal bayesian recommendation sets and myopically optimal choice query sets P Viappiani, C Boutilier Advances in neural information processing systems 23, 2010	116	2010
Designing example-critiquing interaction B Faltings, P Pu, M Torrens, P Viappiani Proceedings of the 9th international conference on Intelligent user …, 2004	84	2004
Teacher-student framework: a reinforcement learning approach M Zimmer, P Viappiani, P Weng AAMAS Workshop Autonomous Robots and Multirobot Systems, 2014	68	2014
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	64	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	63	2017
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
Preferences in interactive systems: Technical challenges and case studies B Peintner, P Viappiani, N Yorke-Smith AI Magazine 29 (4), 13, 2008	54	2008
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	51	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	44	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	34*	2016
Preference-based search with adaptive recommendations P Viappiani, P Pu, B Faltings Ai Communications 21 (2-3), 155-175, 2008	32	2008
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
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	30	2016
Incremental elicitation of Choquet capacities for multicriteria decision making N Benabbou, P Perny, P Viappiani ECAI 2014, 87-92, 2014	30	2014
Online feature elicitation in interactive optimization C Boutilier, K Regan, P Viappiani Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	22	2009
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	21	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, 29-64, 2015	19	2015

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