| Preference-based search using example-critiquing with suggestions P Viappiani, B Faltings, P Pu Journal of artificial intelligence Research 27, 465-503, 2006 | 149 | 2006 |
| Preferences in artificial intelligence G Pigozzi, A Tsoukias, P Viappiani Annals of Mathematics and Artificial Intelligence 77, 361-401, 2016 | 144 | 2016 |
| Optimal bayesian recommendation sets and myopically optimal choice query sets P Viappiani, C Boutilier Advances in neural information processing systems 23, 2010 | 135 | 2010 |
| Teacher-student framework: a reinforcement learning approach M Zimmer, P Viappiani, P Weng AAMAS Workshop autonomous robots and multirobot systems, 2014 | 90 | 2014 |
| Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems N Benabbou, P Perny, P Viappiani Artificial Intelligence 246, 152-180, 2017 | 89 | 2017 |
| Designing example-critiquing interaction B Faltings, P Pu, M Torrens, P Viappiani Proceedings of the 9th international conference on Intelligent user …, 2004 | 87 | 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 | 77 | 2009 |
| Preferences in interactive systems: Technical challenges and case studies B Peintner, P Viappiani, N Yorke-Smith AI Magazine 29 (4), 13, 2008 | 62 | 2008 |
| 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 |
| 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 | 54 | 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 | 45 | 2006 |
| 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 | 40 | 2006 |
| 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 | 34 | 2016 |
| Preference-based search with adaptive recommendations P Viappiani, P Pu, B Faltings Ai Communications 21 (2-3), 155-175, 2008 | 33 | 2008 |
| Incremental elicitation of Choquet capacities for multicriteria decision making N Benabbou, P Perny, P Viappiani ECAI 2014, 87-92, 2014 | 32 | 2014 |
| 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 | 32 | 2010 |
| 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 | 28 | 2015 |
| 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 | 27 | 2016 |
| On the equivalence of optimal recommendation sets and myopically optimal query sets P Viappiani, C Boutilier Artificial Intelligence 286, 103328, 2020 | 24 | 2020 |
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