Corpus ID: 18020566

du CNRC ( NPArC ) Predicting User Preferences via Similarity-Based Clustering

  title={du CNRC ( NPArC ) Predicting User Preferences via Similarity-Based Clustering},
  author={Mian Qin and S. Buffett and M. W. Fleming},
This paper explores the idea of clustering partial preference relations as a means for agent prediction of users’ preferences. Due to the high number of possible outcomes in a typical scenario, such as an automated negotiation session, elicitation techniques can provide only a sparse specification of a user’s preferences. By clustering similar users together, we exploit the notion that people with common preferences over a given set of outcomes will likely have common interests over other… Expand

Figures and Tables from this paper


Reasoning with Conditional Preferences Across Attributes
Similarity of personal preferences: Theoretical foundations and empirical analysis
A Bayesian classifier for learning opponents' preferences in multi-object automated negotiation
Making Rational Decisions Using Adaptive Utility Elicitation
Detecting opponent concessions in multi-issue automated negotiation
Decisions with multiple objectives: preferences and value tradeoffs
Inferring implicit preferences from negotiation actions
  • In Proc. Int’l Symposium on Artificial Intelligence and Mathematics,
  • 2004