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Paolo Viappiani
Paolo Viappiani
CNRS researcher, LAMSADE, Université Paris Dauphine PSL
Bestätigte E-Mail-Adresse bei dauphine.psl.eu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Preference-based search using example-critiquing with suggestions
P Viappiani, B Faltings, P Pu
Journal of artificial intelligence Research 27, 465-503, 2006
1462006
Preferences in artificial intelligence
G Pigozzi, A Tsoukias, P Viappiani
Annals of Mathematics and Artificial Intelligence 77, 361-401, 2016
1442016
Optimal bayesian recommendation sets and myopically optimal choice query sets
P Viappiani, C Boutilier
Advances in neural information processing systems 23, 2010
1352010
Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems
N Benabbou, P Perny, P Viappiani
Artificial Intelligence 246, 152-180, 2017
902017
Teacher-student framework: a reinforcement learning approach
M Zimmer, P Viappiani, P Weng
AAMAS Workshop autonomous robots and multirobot systems, 2014
872014
Designing example-critiquing interaction
B Faltings, P Pu, M Torrens, P Viappiani
Proceedings of the 9th international conference on Intelligent user …, 2004
862004
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
752009
Preferences in interactive systems: Technical challenges and case studies
B Peintner, P Viappiani, N Yorke-Smith
AI Magazine 29 (4), 13, 2008
622008
Conversational recommenders with adaptive suggestions
P Viappiani, P Pu, B Faltings
Proceedings of the 2007 ACM conference on Recommender systems, 89-96, 2007
562007
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
542011
Increasing user decision accuracy using suggestions
P Pu, P Viappiani, B Faltings
Proceedings of the SIGCHI conference on Human Factors in computing systems …, 2006
452006
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
392006
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
332016
Preference-based search with adaptive recommendations
P Viappiani, P Pu, B Faltings
Ai Communications 21 (2-3), 155-175, 2008
332008
Incremental elicitation of Choquet capacities for multicriteria decision making
N Benabbou, P Perny, P Viappiani
ECAI 2014, 87-92, 2014
322014
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
312010
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
292015
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
262016
On the equivalence of optimal recommendation sets and myopically optimal query sets
P Viappiani, C Boutilier
Artificial Intelligence 286, 103328, 2020
242020
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