Predicting User Preferences Via Similarity-Based Clustering

@inproceedings{Qin2008PredictingUP,
  title={Predicting User Preferences Via Similarity-Based Clustering},
  author={Mian Qin and S. Buffett and M. W. Fleming},
  booktitle={Canadian Conference on AI},
  year={2008}
}
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
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  • In Proc. Int’l Symposium on Artificial Intelligence and Mathematics,
  • 2004
Decisions with Multiple Objectives—Preferences and Value Tradeoffs