Preference elicitation
Encyclopedia
Preference elicitation refers to the problem of developing a decision support system
capable of generating recommendation
s to a user, thus assisting him 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 POMDP Partially observable Markov decision process
. The formulation of this problem is also dependent upon the context of the area in which it is studied.
s of systems that can aid a user to be able to navigate through a complex and huge information space using some information from the user in the form of answers to certain queries or ratings to certain items etc. depending upon the domain of the information space.
Decision support system
A decision support system is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization and help to make decisions, which may be rapidly changing and not easily specified in...
capable of generating recommendation
Recommendation
A recommendation can be:* In technical contexts, a norm or a norm * Recommender systems use Information filtering systems to create computer generated recommendations* European Union recommendation, in international law...
s to a user, thus assisting him 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 POMDP Partially observable Markov decision process
Partially observable Markov decision process
A Partially Observable Markov Decision Process is a generalization of a Markov Decision Process. A POMDP models an agent decision process in which it is assumed that the system dynamics are determined by an MDP, but the agent cannot directly observe the underlying state...
. The formulation of this problem is also dependent upon the context of the area in which it is studied.
Overview
With the explosion of on-line information new opportunities for finding and using electronic data have been generated, these changes have also brought the task of eliciting useful information to the forefront. Researchers as well as major online catalog companies have come up with algorithms and prototypePrototype
A prototype is an early sample or model built to test a concept or process or to act as a thing to be replicated or learned from.The word prototype derives from the Greek πρωτότυπον , "primitive form", neutral of πρωτότυπος , "original, primitive", from πρῶτος , "first" and τύπος ,...
s of systems that can aid a user to be able to navigate through a complex and huge information space using some information from the user in the form of answers to certain queries or ratings to certain items etc. depending upon the domain of the information space.
See also
- Cold startCold startCold start is a potential problem in computer-based information systems which involve a degree of automated data modelling. Specifically, it concerns the issue that the system cannot draw any inferences for users or items about which it has not yet gathered sufficient information.-Systems...
- Collaborative filteringCollaborative filteringCollaborative filtering is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. Applications of collaborative filtering typically involve very large data sets...
- Collective intelligenceCollective intelligenceCollective intelligence is a shared or group intelligence that emerges from the collaboration and competition of many individuals and appears in consensus decision making in bacteria, animals, humans and computer networks....
- Personalized marketingPersonalized marketingPersonalized marketing is an extreme form of product differentiation. Whereas product differentiation tries to differentiate a product from competing ones, personalization tries to make a unique product offering for each customer.-Internet marketing:Personalized marketing had been most practical...
- Product FinderProduct finderProduct finders are information systems that help consumers to identify products within a large palette of similar alternative products. Product finders differ in complexity, the more complex among them being a special case of decision support systems. Conventional decision support systems,...
s - The Long TailThe Long TailThe Long Tail or long tail refers to the statistical property that a larger share of population rests within the tail of a probability distribution than observed under a 'normal' or Gaussian distribution...