Paolo Viappiani

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	All	Since 2016
Citations	1057	519
h-index	17	13
i10-index	28	17

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200420052006200720082009201020112012201320142015201620172018201920205 12 34 41 49 38 77 65 74 44 42 50 71 91 105 115 133

Co-authors

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
Marc TorrensESADE Business SchoolVerified email at esade.edu
Gabriella PigozziAssociate Professor of Computer Science, Université Paris-Dauphine, FranceVerified email at dauphine.fr
Andrea PasseriniAssociate Professor, University of TrentoVerified email at disi.unitn.it
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
Enrico DiecidueProfessor of Decision Sciences, INSEADVerified email at insead.edu

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	127	2006
Optimal bayesian recommendation sets and myopically optimal choice query sets P Viappiani, C Boutilier Advances in neural information processing systems, 2352-2360, 2010	94	2010
Designing example-critiquing interaction B Faltings, P Pu, M Torrens, P Viappiani Proceedings of the 9th international conference on Intelligent user …, 2004	79	2004
Preferences in artificial intelligence G Pigozzi, A Tsoukias, P Viappiani Annals of Mathematics and Artificial Intelligence 77 (3-4), 361-401, 2016	78	2016
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	55*	2011
Preferences in interactive systems: Technical challenges and case studies B Peintner, P Viappiani, N Yorke-Smith AI Magazine 29 (4), 13, 2008	52	2008
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	49	2009
Conversational recommenders with adaptive suggestions P Viappiani, P Pu, B Faltings Proceedings of the 2007 ACM conference on Recommender systems, 89-96, 2007	47	2007
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	31	2017
Preference-based search with adaptive recommendations P Viappiani, P Pu, B Faltings Ai Communications 21 (2-3), 155-175, 2008	29	2008
Teacher-student framework: a reinforcement learning approach M Zimmer, P Viappiani, P Weng	26	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	26	2010
Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making. N Benabbou, P Perny, P Viappiani ECAI, 87-92, 2014	24	2014
Constructive preference elicitation by setwise max-margin learning S Teso, A Passerini, P Viappiani IJCAI, 2067-2073, 2016	22	2016
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
Acquiring user preferences for personal agents P Viappiani, P Pu, B Faltings Proceedings of the AAAI fall symposium, 53-59, 2002	17	2002
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	15	2006

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