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AAMAS
2008
Springer

User evaluation of a market-based recommender system

8 years 3 months ago
User evaluation of a market-based recommender system
Recommender systems have been developed for a wide variety of applications (ranging from books, to holidays, to web pages). These systems have used a number of different approaches, since no one technique is best for all users in all situations. Given this, we believe that to be effective, systems should incorporate a wide variety of such techniques and then some form of overarching framework should be put in place to coordinate them so that only the best recommendations (from whatever source) are presented to the user. To this end, in our previous work, we detailed a market-based approach in which various recommender agents competed with one another to present their recommendations to the user. We showed through theoretical analysis and empirical evaluation with simulated users that an appropriately designed marketplace should be able to provide effective coordination. Building on this, we now report on the development of this multi-agent system and its evaluation with real users. Sp...
Yan Zheng Wei, Nicholas R. Jennings, Luc Moreau, W
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2008
Where AAMAS
Authors Yan Zheng Wei, Nicholas R. Jennings, Luc Moreau, Wendy Hall
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