An extensible agent architecture for a competitive market-based allocation of consumer attention space
An extensible agent architecture for a competitive market-based allocation of consumer attention space
A competitive distributed recommendation mechanism is introduced based on adaptive software agents for efficiently allocating the "customer attention space", or banners. In the example of an electronic shopping mall, the task of correctly profiling and analyzing the customers is delegated to the individual shops that operate in a distributed, remote fashion. The evaluation and classification of customers for the bidding on banners is not handled by a central agency as is customary, but is a distributed process where all shops bidding for a customer partake. This allows each agent for a shop to apply its own private strategy, learning mechanism, and specific domain knowledge. We present a a scalable, and extensible software agent architecture and prototype for distributed market-based allocation of customer attention space. The agents can operate in multiple markets concurrently. The protocol for communication between the agents is designed for optimal performance of the system.
273-288
't Hoen, PJ
24c2b7e4-9c5b-4996-9b37-ada1c3064fb9
Bohte, S.
778642dc-81fe-474d-9a2d-b7c8cfdbf2a1
Gerding, E.
d9e92ee5-1a8c-4467-a689-8363e7743362
La Poutre, H.
fe00ea11-a0e9-40a3-b65c-efbda2d5d966
2002
't Hoen, PJ
24c2b7e4-9c5b-4996-9b37-ada1c3064fb9
Bohte, S.
778642dc-81fe-474d-9a2d-b7c8cfdbf2a1
Gerding, E.
d9e92ee5-1a8c-4467-a689-8363e7743362
La Poutre, H.
fe00ea11-a0e9-40a3-b65c-efbda2d5d966
't Hoen, PJ, Bohte, S., Gerding, E. and La Poutre, H.
(2002)
An extensible agent architecture for a competitive market-based allocation of consumer attention space.
In,
Padget, J., Shehory, O., Parkes, D., Sadeh, N. and Walsh, W.E.
(eds.)
Agent Mediated Electronic Commerce IV: Designing Mechanisms and Systems, Springer Lecture Notes in AI, vol. 2531.
(LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2531)
Springer, .
Record type:
Book Section
Abstract
A competitive distributed recommendation mechanism is introduced based on adaptive software agents for efficiently allocating the "customer attention space", or banners. In the example of an electronic shopping mall, the task of correctly profiling and analyzing the customers is delegated to the individual shops that operate in a distributed, remote fashion. The evaluation and classification of customers for the bidding on banners is not handled by a central agency as is customary, but is a distributed process where all shops bidding for a customer partake. This allows each agent for a shop to apply its own private strategy, learning mechanism, and specific domain knowledge. We present a a scalable, and extensible software agent architecture and prototype for distributed market-based allocation of customer attention space. The agents can operate in multiple markets concurrently. The protocol for communication between the agents is designed for optimal performance of the system.
Other
AMECIV-Hoen.ps
- Other
Restricted to Repository staff only
Request a copy
More information
Published date: 2002
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 265639
URI: http://eprints.soton.ac.uk/id/eprint/265639
PURE UUID: 34062af7-2f57-45b6-a6e4-ba258ccec581
Catalogue record
Date deposited: 28 Apr 2008 15:46
Last modified: 15 Mar 2024 03:23
Export record
Contributors
Author:
PJ 't Hoen
Author:
S. Bohte
Author:
E. Gerding
Author:
H. La Poutre
Editor:
J. Padget
Editor:
O. Shehory
Editor:
D. Parkes
Editor:
N. Sadeh
Editor:
W.E. Walsh
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics