Sciweavers

124 search results - page 5 / 25
» Preference Elicitation without Numbers
Sort
View
AAAI
2011
12 years 7 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
IJCAI
2003
13 years 8 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
2007
Springer
14 years 1 months ago
Dealing with Incomplete Preferences in Soft Constraint Problems
We consider soft constraint problems where some of the preferences may be unspecified. This models, for example, situations with several agents providing the data, or with possibl...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
AI
2006
Springer
13 years 7 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...
SIGKDD
2008
138views more  SIGKDD 2008»
13 years 7 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl