Characteristics of Bid Processes in Online Auctions

Abstract:

Characteristics of online auctions in E-commerce are very critical for the system design in modern Internet E-Business. This study collected data traces in a famous commercial auction site. The collected data traces are examined by statistics and time correlations. Furthermore, more sophistical inspections, such as Hurst parameter and long-range dependence, are performed to probe the characteristics of the data traces. We found that brand name handbags and smart phones have a strong degree of self-similarity. The results are useful to further study the possible reasons for the presented self-similarity.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 5199-5203
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.5199
• Online since: November 2011
• Authors: Chu Fen Li
• Keywords: Bid Arrival Modeling, Bid Arrival Processes, E-Commerce Application Management, Online Auctions, Self-Similarity

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