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» Incremental Utility Elicitation with the Minimax Regret Deci...
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CP
2003
Springer
13 years 10 months ago
Constraint-Based Optimization with the Minimax Decision Criterion
Abstract. In many situations, a set of hard constraints encodes the feasible configurations of some system or product over which users have preferences. We consider the problem of...
Craig Boutilier, Relu Patrascu, Pascal Poupart, Da...
AAAI
2010
13 years 6 months ago
Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies
The precise specification of reward functions for Markov decision processes (MDPs) is often extremely difficult, motivating research into both reward elicitation and the robust so...
Kevin Regan, Craig Boutilier
RECSYS
2009
ACM
13 years 12 months ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani
RECSYS
2009
ACM
13 years 12 months ago
Regret-based optimal recommendation sets in conversational recommender systems
Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...
Paolo Viappiani, Craig Boutilier
AAAI
2011
12 years 5 months ago
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and ...
Paolo Viappiani, Craig Boutilier