Sciweavers

10 search results - page 1 / 2
» Constraint-based optimization and utility elicitation using ...
Sort
View
AI
2006
Springer
13 years 5 months ago
Constraint-based optimization and utility elicitation using the minimax decision criterion
In many situations, a set of hard constraints encodes the feasible configurations of some system or product over which multiple users have distinct preferences. However, making su...
Craig Boutilier, Relu Patrascu, Pascal Poupart, Da...
IJCAI
2003
13 years 6 months ago
Incremental Utility Elicitation with the Minimax Regret Decision Criterion
Utility elicitation is a critical function of any automated decision aid, allowing decisions to be tailored to the preferences of a specific user. However, the size and complexit...
Tianhan Wang, Craig Boutilier
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...
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
13 years 9 months ago
Assessing regret-based preference elicitation with the UTPREF recommendation system
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...
Darius Braziunas, 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