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collaborative filtering
(redirected from Recommender system)

   Also found in: Wikipedia 0.01 sec.
collaborative filtering
Also known as "social filtering" and "social information filtering," it refers to techniques that identify information a user might be interested in. There are different kinds of algorithms used, but the basic principle is to develop a rating system for matching incoming material. "Collaborative" means that a group of people interested in the subject define their preferences in order to set up the system. Collaborative filtering is used to create "recommendation systems" that can, for example, enhance your experience on a Web site by suggesting music or movies that you might like. See collaborative software and music recommendation service.


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As Genius is a proprietary system whose secrets are not available to the public, the researchers studied it by testing its song recommendations against comparable song suggestions from experimental music recommender systems that they fully understood.
She describes how software agents make decisions and multi-agent systems work, then examines how different elements are used in various applications, covering shopping agents, middle agents, recommender systems, strategic interaction, negotiation, mechanical design, mobile agents, trust, security, and legal issues.
One recommender system with which many people are familiar is that provided by Amazon.
 
 
 
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