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Competitive Market-based Allocation of Consumer Attention

Competitive Market-based Allocation of Consumer Attention
Competitive Market-based Allocation of Consumer Attention
The amount of attention space available for recommending suppliers to consumers on e-commerce sites is typically limited. We present a competitive distributed recommendation mechanism based on adaptive software agents for efficiently allocating the "consumer attention space", or banners. In our approach, each agent bids in an auction for the momentary attention of each consumer. Successive auctions allow agents to rapidly adapt their bidding strategy to focus on consumers interested in their offerings. We demonstrate the feasibility of our system by an evolutionary simulation, and reflect on the advantages of this distributed market-based approach.
202-206
Bohte, S.M.
ae8916e6-4089-4682-8809-22d9dbd79b37
Gerding, E.H.
d9e92ee5-1a8c-4467-a689-8363e7743362
La Poutre, J.A.
31ffa5ed-a4a3-40d7-ac47-db7a375d95ae
Bohte, S.M.
ae8916e6-4089-4682-8809-22d9dbd79b37
Gerding, E.H.
d9e92ee5-1a8c-4467-a689-8363e7743362
La Poutre, J.A.
31ffa5ed-a4a3-40d7-ac47-db7a375d95ae

Bohte, S.M., Gerding, E.H. and La Poutre, J.A. (2001) Competitive Market-based Allocation of Consumer Attention. 3rd ACM Conference on Electronic Commerce (EC'01). pp. 202-206 .

Record type: Conference or Workshop Item (Other)

Abstract

The amount of attention space available for recommending suppliers to consumers on e-commerce sites is typically limited. We present a competitive distributed recommendation mechanism based on adaptive software agents for efficiently allocating the "consumer attention space", or banners. In our approach, each agent bids in an auction for the momentary attention of each consumer. Successive auctions allow agents to rapidly adapt their bidding strategy to focus on consumers interested in their offerings. We demonstrate the feasibility of our system by an evolutionary simulation, and reflect on the advantages of this distributed market-based approach.

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More information

Published date: 2001
Venue - Dates: 3rd ACM Conference on Electronic Commerce (EC'01), 2001-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 265634
URI: https://eprints.soton.ac.uk/id/eprint/265634
PURE UUID: f2e65fac-a7f5-45d1-84da-9a9a09659245

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Date deposited: 28 Apr 2008 15:35
Last modified: 18 Jul 2017 07:25

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Contributors

Author: S.M. Bohte
Author: E.H. Gerding
Author: J.A. La Poutre

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