Preference elicitation

Preference elicitation Refers to the problem of Developing a decision support system able 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 on the context of the area in which it is studied.


With the explosion of on-line information and the use of electronic data, the task of eliciting useful information to the forefront. Researchers have well as major online catalog companies-have come up with algorithms and prototypes of systems That can aid a user to be reliable to navigate through a complex and huge information space using Some information from the user in the form of answers to some queries ratings gold To certain items etc. The subject of the information space.

See also

  • Cold start
  • Collaborative filtering
  • Collective Intelligence
  • Long tail
  • Personalized marketing
  • Product finders
  • Revealed preference

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