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Trading Discount for Reputation?: On the Design and Analysis of E-Commerce Discount Mechanisms

Published: 14 June 2016 Publication History

Abstract

We develop an optimization framework to trade short-term profits for reputation (i.e., reducing ramp-up time). We apply the stochastic bandits framework to design an online discounting mechanism which infers the optimal discount from a seller's historical transaction data. We conduct experiments on an eBay's dataset and show that our online discounting mechanism can trade 60% of the shortterm profits for reducing the ramp-up time by 40%.

References

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http://www.88sxy.com/.
[2]
P. Auer, N. Cesa-Bianchi, and P. Fischer. Finite-time analysis of the multiarmed bandit problem. Machine learning, 47(2--3):235--256, 2002.
[3]
P. Resnick, K. Kuwabara, R. Zeckhauser, and E. Friedman. Reputation systems. Commun. ACM, 43(12):45--48, Dec. 2000.
[4]
H. Xie and J. C. Lui. Modeling ebay-like reputation systems: Analysis, characterization and insurance mechanism design. Performance Evaluation, 91:132--149, 2015.
[5]
H. Xu, D. Liu, H. Wang, and A. Stavrou. E-commerce reputation manipulation: The emergence of reputation-escalation-as-a-service. In Proc. of WWW, 2015.

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  1. Trading Discount for Reputation?: On the Design and Analysis of E-Commerce Discount Mechanisms

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    Published In

    cover image ACM SIGMETRICS Performance Evaluation Review
    ACM SIGMETRICS Performance Evaluation Review  Volume 44, Issue 1
    Performance evaluation review
    June 2016
    409 pages
    ISSN:0163-5999
    DOI:10.1145/2964791
    Issue’s Table of Contents
    • cover image ACM Conferences
      SIGMETRICS '16: Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science
      June 2016
      434 pages
      ISBN:9781450342667
      DOI:10.1145/2896377
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 June 2016
    Published in SIGMETRICS Volume 44, Issue 1

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    Author Tags

    1. discount
    2. e-commerce
    3. reputation

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