Sciweavers

Share
AOIS
2003

Market-Based Recommendations: Design, Simulation and Evaluation

11 years 8 months ago
Market-Based Recommendations: Design, Simulation and Evaluation
This paper reports on the design, implementation, and evaluation of a market-based recommender system that suggests relevant documents to users. The key feature of the system is the use of market mechanisms to shortlist recommendations in decreasing order of user perceived quality. Essentially, the marketplace gives recommending agents the incentive to adjust their bids to different levels according to their belief about the corresponding user perceived quality. In order to test the efficiency of our marketplace design, this paper reports on our simulation results for different types of users with different information needs. In this context, we demonstrate that the bids from recommendations with different user perceived quality levels converge at different price levels and that the bidding agents can relate their bids to their internal belief about the quality of their recommendations. Keywords Recommender System, Auctions, Market-Based Approach
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where AOIS
Authors Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
Comments (0)
books