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Recommender Systems: A Market Based Design

Recommender Systems: A Market Based Design
Recommender Systems: A Market Based Design
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have been developed. However, it has been shown that no one technique is best for all users in all situations. Thus we believe that effective recommender systems should incorporate a wide variety of such techniques and that some form of overarching framework should be put in place to coordinate the various recommendations so that only the best of them (from whatever source) are presented to the user. To this end, we show that a marketplace, in which the various recommendation methods compete to offer their recommendations to the user, can be used in this role. Specifically, this paper presents the principled design of such a marketplace; detailing the auction protocol and reward mechanism and analyzing the rational bidding strategies of the individual recommendation agents.
600-607
Wei, Yan Zheng
a5d942b8-a744-482a-949b-a95b5a47cf68
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Wei, Yan Zheng
a5d942b8-a744-482a-949b-a95b5a47cf68
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Wei, Yan Zheng, Moreau, Luc and Jennings, N. R. (2003) Recommender Systems: A Market Based Design. The Second International Joint Conference on Automonous Agents and Multi-Agent Systems (AAMAS'03), Australia. pp. 600-607 .

Record type: Conference or Workshop Item (Paper)

Abstract

Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have been developed. However, it has been shown that no one technique is best for all users in all situations. Thus we believe that effective recommender systems should incorporate a wide variety of such techniques and that some form of overarching framework should be put in place to coordinate the various recommendations so that only the best of them (from whatever source) are presented to the user. To this end, we show that a marketplace, in which the various recommendation methods compete to offer their recommendations to the user, can be used in this role. Specifically, this paper presents the principled design of such a marketplace; detailing the auction protocol and reward mechanism and analyzing the rational bidding strategies of the individual recommendation agents.

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More information

Published date: 2003
Additional Information: Event Dates: July 2003
Venue - Dates: The Second International Joint Conference on Automonous Agents and Multi-Agent Systems (AAMAS'03), Australia, 2003-07-01
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 257642
URI: http://eprints.soton.ac.uk/id/eprint/257642
PURE UUID: cb3c1efb-509b-413d-9221-a09f343eb8bb
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 13 Jun 2003
Last modified: 09 Dec 2019 20:17

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Contributors

Author: Yan Zheng Wei
Author: Luc Moreau ORCID iD
Author: N. R. Jennings

University divisions

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