Market-Based Recommender Systems: Learning Users' Interests by Quality Classification (2004)
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by
Yan Zheng Wei
,
Luc Moreau
,
Nicholas R. Jennings
| Venue: | in Proc. of the 6th International Bi-Conf Workshop on Agent-Oriented Information Systems (AOIS-2004 |
| Citations: | 3 - 3 self |
BibTeX
@INPROCEEDINGS{Wei04market-basedrecommender,
author = {Yan Zheng Wei and Luc Moreau and Nicholas R. Jennings},
title = {Market-Based Recommender Systems: Learning Users' Interests by Quality Classification},
booktitle = {in Proc. of the 6th International Bi-Conf Workshop on Agent-Oriented Information Systems (AOIS-2004},
year = {2004},
pages = {119--133}
}
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Abstract
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique is best for all users in all situations.
Citations
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| 103 | Animal intelligence: an experimental study of the associative processes in animals - Thorndike - 1898 |
| 44 | A taxonomy of recommender agents on the internet - Montaner, Lopez, et al. |
| 24 | Recommender systems: A market-based design - Wei, Moreau, et al. - 2003 |
| 14 | Market-based recommendation: Agents that compete for consumer attention - Bohte, Gerding, et al. |
| 5 | N.R.: Market-based recommendations: Design, simulation and evaluation - Wei, Moreau, et al. - 2003 |
