| Type of Document |
Master's Thesis |
| Author |
Shah, Harshit , |
| Author's Email Address |
shah_harshit@yahoo.com |
| URN |
etd-05162002-150031 |
| Title |
Identifying Bidding Strategies on eBay: A Feasibility Study |
| Degree |
Master of Science |
| Graduate Program |
Computer Science |
| Advisory Committee |
| Advisor Name |
Title |
| Dr. Peter Wurman |
Committee Chair |
| Dr. Jon Doyle |
Committee Member |
| Dr. Munindar Singh |
Committee Member |
|
| Keywords |
- bidding strategies
- online auctions
|
| Date of Defense |
2002-05-16 |
| Availability |
unrestricted |
Abstract
Millions of people participate in online auctions on websites such as eBay. The data available in these public markets offer interesting opportunities to study internet auctions. The main purpose of this research is to identify common bidding patterns that appear on eBay. We examine data from eBay videogame console auctions. A new way of interpreting bidding behaviors is proposed. The analysis reveals that there are certain bidding behaviors that appear frequently in the data. We identify the behaviors and infer bidder?s strategy that might lead to such behaviors.
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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
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| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
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etd.pdf |
219.73 Kb |
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