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About: Preference elicitation     Goto   Sponge   NotDistinct   Permalink

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Type: yago:Artifact100021939yago:DataSystem103164344yago:Instrumentality103575240yago:Object100002684yago:PhysicalEntity100001930yago:WikicatInformationSystemsyago:System104377057yago:Whole100003553 New Facet based on Instances of this Class

Preference elicitation refers to the problem of developing a decision support system capable of generating recommendations to a user, thus assisting in decision making. It is important for such a system to model user's preferences accurately, find hidden preferences and avoid redundancy. This problem is sometimes studied as a computational learning theory problem. Another approach for formulating this problem is a partially observable Markov decision process. The formulation of this problem is also dependent upon the context of the area in which it is studied.