Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-25943-5_5 | AGENT-ORIENTED INFORMATION SYSTEMS |
Keywords | Field | DocType |
auctions,recommender system,market-based approach,information need,price level | Recommender system,Information system,Information needs,Incentive,Price level,Computer security,Computer science,Operations research,Test efficiency,Bidding,User agent,Distributed computing | Conference |
Volume | ISSN | Citations |
3030 | 0302-9743 | 5 |
PageRank | References | Authors |
0.50 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Zheng Wei | 1 | 95 | 5.71 |
| luc moreau | 2 | 2540 | 184.04 |
| Nicholas R. Jennings | 3 | 19348 | 1564.35 |