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Matchmaking in Electronic Markets

An Agent-Based Approach towards Matchmaking in Electronic Negotiations

  • Book
  • © 2003

Overview

Authors:
  1. Daniel J. Veit

    1. University of Mannheim, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2882)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (8 chapters)

  1. Front Matter

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  2. Fundamentals & Related Work

    1. Front Matter

      Pages 1-1
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    2. 1 Introduction

      • Daniel J. Veit
      Pages 3-7

    3. 2 Terminology and Overview

      • Daniel J. Veit
      Pages 9-35

    4. 3 Related Work

      • Daniel J. Veit
      Pages 37-75

  3. The Multidimensional Matchmaking Approach

    1. Front Matter

      Pages 77-77
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    2. 4 Matchmaking Architecture

      • Daniel J. Veit
      Pages 79-118

    3. 5 Matchmaking Implementation

      • Daniel J. Veit
      Pages 119-131

  4. Application, Evaluation & Outlook

    1. Front Matter

      Pages 133-133
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    2. 6 Application in a Real-World Market

      • Daniel J. Veit
      Pages 135-141

    3. 7 Empirical Evaluation

      • Daniel J. Veit
      Pages 143-160

    4. 8 Conclusions and Outlook

      • Daniel J. Veit
      Pages 161-167

  5. Back Matter

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Keywords

About this book

Electronic negotiations concern transactions on the basis of electronic media, such as the Internet. Platforms have been developed to aid participants in electronic markets during the agreement phase. The key activity in this is the matching of offers and requests, for which we need a ranking of the alternatives. In this book the author defines a framework in which a ranking can be generated in order to acquire an optimal decision for a desired transaction - this process is called matchmaking.

The author introduces a generic framework for multidimensional, multiattribute matchmaking, its implementation, and an analysis of it. The genericity of the author’s approach means that the implementation, realized as a multiagent system, can represent both offering and requesting agents, and the framework can be applied to a huge variety of applications. The use cases in the book are derived from the human resources domain, and thus involve quite complex matchmaking.

The author’s presentation is thorough and self-contained. He provides definitions of the relevant business and computer science terms, and detailed explanations of the underlying mathematical tools and software implementations.

Authors and Affiliations

  • University of Mannheim, Germany

    Daniel J. Veit

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