Paolo Viappiani

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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 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
Stefano TesoResearcher, University of TrentoVerified email at unitn.it
Marc TorrensESADE Business SchoolVerified email at esade.edu
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
Christian KroerAssistant Professor, Columbia UniversityVerified email at columbia.edu
Howard J HamiltonProfessor of Computer Science, University of ReginaVerified email at cs.uregina.ca
Nic WilsonUniversity College CorkVerified email at insight-centre.org
Federico ToffanoUniversity College CorkVerified email at insight-centre.org
Enrico DiecidueProfessor of Decision Sciences, INSEADVerified email at insead.edu

Paolo Viappiani

CNRS researcher, LIP6, Sorbonne Université

Verified email at lip6.fr - 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	130	2006
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets. P Viappiani, C Boutilier NIPS, 2352-2360, 2010	98	2010
Preferences in artificial intelligence G Pigozzi, A Tsoukias, P Viappiani Annals of Mathematics and Artificial Intelligence 77 (3), 361-401, 2016	95	2016
Designing example-critiquing interaction B Faltings, P Pu, M Torrens, P Viappiani Proceedings of the 9th international conference on Intelligent user …, 2004	82	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	59	2009
Preferences in interactive systems: Technical challenges and case studies B Peintner, P Viappiani, N Yorke-Smith AI Magazine 29 (4), 13, 2008	55	2008
Conversational recommenders with adaptive suggestions P Viappiani, P Pu, B Faltings Proceedings of the 2007 ACM conference on Recommender systems, 89-96, 2007	51	2007
Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems N Benabbou, P Perny, P Viappiani Artificial Intelligence 246, 152-180, 2017	45	2017
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	45	2011
Teacher-student framework: a reinforcement learning approach M Zimmer, P Viappiani, P Weng AAMAS Workshop Autonomous Robots and Multirobot Systems, 2014	42	2014
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
Preference-based search with adaptive recommendations P Viappiani, P Pu, B Faltings Ai Communications 21 (2-3), 155-175, 2008	31	2008
Constructive preference elicitation by setwise max-margin learning S Teso, A Passerini, P Viappiani IJCAI, 2067-2073, 2016	29	2016
Incremental elicitation of Choquet capacities for multicriteria decision making N Benabbou, P Perny, P Viappiani ECAI 2014, 87-92, 2014	28	2014
Simultaneous elicitation of preference features and utility C Boutilier, K Regan, P Viappiani Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010	28	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	18	2016
Acquiring user preferences for personal agents P Viappiani, P Pu, B Faltings Proceedings of the AAAI fall symposium, 53-59, 2002	18	2002
Reducing the number of queries in interactive value iteration H Gilbert, O Spanjaard, P Viappiani, P Weng International Conference on Algorithmic Decision Theory, 139-152, 2015	16	2015
Online feature elicitation in interactive optimization C Boutilier, K Regan, P Viappiani Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	16	2009

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