An Extensible Agent Architecture for a Competitive Market-Based Allocation of Consumer Attention Space

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Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems (AMEC 2002)

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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 shop** 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 without revealing sensitive business operations to the central party. We present 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.

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© 2002 Springer-Verlag Berlin Heidelberg

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Jan’ t Hoen, P., Bohte, S., Gerding, E., La Poutré, 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., Walsh, W.E. (eds) Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems. AMEC 2002. Lecture Notes in Computer Science(), vol 2531. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36378-5_17

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  • DOI: https://doi.org/10.1007/3-540-36378-5_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00327-4

  • Online ISBN: 978-3-540-36378-1

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