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Title:      DIFFERENCES IN BIDDING CHARACTERISTICS ON EBAY.DE
Author(s):      Tobias Dietrich , Detlef Seese , Stephan K. Chalup
ISBN:      972-8924-06-2
Editors:      Nitya Karmakar and Pedro IsaĆ­as
Year:      2005
Edition:      Single
Keywords:      Online Auctions, eBay, Bidding Characteristics, Support Vector Classification.
Type:      Full Paper
First Page:      3
Last Page:      10
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      eBay is often regarded as one single homogeneous marketplace. This paper presents evidence gathered from 251,996 eBay auctions suggesting that the market is in fact split into segments with individual bidding characteristics. Using only bidding-related data as input for Support Vector Classification algorithms, classification rates between 55% and 69% were achieved for the distinction between items offered by high-volume sellers and items offered by low-volume sellers, and between items offered in different product categories.
   

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