Predicting User Preferences Via Similarity-Based Clustering
@inproceedings{Qin2008PredictingUP, title={Predicting User Preferences Via Similarity-Based Clustering}, author={Mian Qin and Scott Buffett and Michael 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…
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