Auction Advisor: An Agent-Based Online Auction Decision Support System

Dawn G. Gregg; Steven Walczak

doi:10.1016/j.dss.2004.07.007

Auction Advisor: An Agent-Based Online Auction Decision Support System

Dawn G. Gregg, Steven Walczak

University of South Florida

Research output: Contribution to journal › Article › peer-review

Abstract

Online auctions are proving themselves as a viable alternative in the C2C and B2C marketplace. Several thousand new items are placed for auction every day and determining which items to bid on or when and where to sell an item are difficult questions to answer for online-auction participants. This paper presents a multiagent Auction Advisor system designed to collect data related to online auctions and use the data to help improve the decision making of auction participants. A simulation of applied Auction Advisor recommendations and a small research study that used subjects making real purchases at online auctions both indicate that online-auction buyers and sellers achieve tangible benefit from the current information acquired by and recommendations made by the Auction Advisor agents.

Original language	American English
Journal	Decision Support Systems
Volume	41
DOIs	https://doi.org/10.1016/j.dss.2004.07.007
State	Published - Jan 1 2006

Keywords

Decision support
Online auction
Information retrieval
Autonomous agent
Data analysis

Disciplines

E-Commerce
Management Information Systems

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10.1016/j.dss.2004.07.007License: CC BY

https://doi.org/10.1016/j.dss.2004.07.007

Cite this

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title = "Auction Advisor: An Agent-Based Online Auction Decision Support System",

abstract = " Online auctions are proving themselves as a viable alternative in the C2C and B2C marketplace. Several thousand new items are placed for auction every day and determining which items to bid on or when and where to sell an item are difficult questions to answer for online-auction participants. This paper presents a multiagent Auction Advisor system designed to collect data related to online auctions and use the data to help improve the decision making of auction participants. A simulation of applied Auction Advisor recommendations and a small research study that used subjects making real purchases at online auctions both indicate that online-auction buyers and sellers achieve tangible benefit from the current information acquired by and recommendations made by the Auction Advisor agents.",

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AB - Online auctions are proving themselves as a viable alternative in the C2C and B2C marketplace. Several thousand new items are placed for auction every day and determining which items to bid on or when and where to sell an item are difficult questions to answer for online-auction participants. This paper presents a multiagent Auction Advisor system designed to collect data related to online auctions and use the data to help improve the decision making of auction participants. A simulation of applied Auction Advisor recommendations and a small research study that used subjects making real purchases at online auctions both indicate that online-auction buyers and sellers achieve tangible benefit from the current information acquired by and recommendations made by the Auction Advisor agents.

KW - Decision support

KW - Online auction

KW - Information retrieval

KW - Autonomous agent

KW - Data analysis

UR - https://digitalcommons.usf.edu/si_facpub/185

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DO - 10.1016/j.dss.2004.07.007

M3 - Article

VL - 41

JO - Decision Support Systems

JF - Decision Support Systems

ER -

Auction Advisor: An Agent-Based Online Auction Decision Support System

Abstract

Keywords

Disciplines

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