Multi-Dimensional Matchmaking for Electronic Markets
Veit, Daniel J.
;
Weinhardt, Christof
;
Müller, Jörg P.
Document Type:
|
Article
|
Year of publication:
|
2002
|
The title of a journal, publication series:
|
Applied Artificial Intelligence : AAI
|
Volume:
|
16
|
Issue number:
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9/10
|
Page range:
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853-869
|
Place of publication:
|
Philadelphia, Pa.
|
Publishing house:
|
Taylor & Francis
|
ISSN:
|
0883-9514
|
Publication language:
|
English
|
Institution:
|
Business School > Dieter-Schwarz-Stiftungslehrstuhl für ABWL, E-Business u. E-Government (Veit 2006-2013)
|
Subject:
|
330 Economics
|
Keywords (English):
|
E-Business , EJB , electronic commerce , Electronic Markets , Enterprise Java Beans , GRAPPA , Matchmaking , Multi-Dimensional , XML
|
Abstract:
|
Matchmaking is the process of mediating demand and supply in markets based on profile
information. In electronic marketplaces and in negotiations, matchmaking plays a key role.
The issue is to find the most appropriate agent for a task, the best bid in a multi-attribute
auction, or the best present good for a request. In most real-world markets, multi-
dimensional matchmaking is required, i.e., the ability to combine different dimensions and
sub-dimensions of decision making to define an overall relevance. This task requires the
interplay of multiple matchmaking algorithms. Another central aspect is the possibility to
design relevance computation processes for multi-attribute objects easily. The realization of
this issue makes multi-dimensional matchmaking processes to be easily integrated into
industrial marketplace solutions. The work described in this paper aims on general multi-
dimensional matchmaking objectives. These matchmaking objectives are implemented and
deployed for industrial applications. The main contributions of this paper are: (i) the
definition of multi-dimensional matchmaking in general; (ii) an implementation of
configurable multi-dimensional matchmaking as a application dependent EJB
TM
component,
which is configurable using XML; (iii) the definition and implementation of different
relevance (i.e., distance) functions for general usage and specific domains; (iv) the
description of a process guiding application developers to design matchmaking applications
(enterprise java beans); and (v) a report on experiences deploying the EJB matchmaker for
the human resource area within a large-scale agent-based software.
|
| Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation. |
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