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Financial Instruments in Recommendation Mechanisms

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Financial Cryptography (FC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2357))

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Abstract

We demonstrate how to use financial instruments to produce recommendation mechanisms. We describe how futures and futures options, both relating to the perception of a company or service, can be used to derive accurate recommendations that are secure against abuse. We suggest the notion of economic reductions to attribute a cost to the introduction of bias in the recommendation system. We demonstrate the use of such an approach using a simplified set of assumptions on the behavior of the market.

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References

  1. Better Business Bureau, http://www.bbb.org

  2. D. Conley, “A free market election failure,” http://www.salon.com/tech/feature/2000/ll/16/election_prediction/index.html

  3. eBay, http://www.eBay.com

  4. Iowa Electronic Markets, http://www.biz.uiowa.edu/iem/index.html

  5. Lonely Planet, http://www.lonelyplanet.com

  6. Cartoon in the New Yorker, p. 61, July 5’ 93.

    Google Scholar 

  7. Zagat reviews, http://www.zagat.com

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© 2003 IFCA/Springer-Verlag Berlin Heidelberg

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Jakobsson, M. (2003). Financial Instruments in Recommendation Mechanisms. In: Blaze, M. (eds) Financial Cryptography. FC 2002. Lecture Notes in Computer Science, vol 2357. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36504-4_3

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  • DOI: https://doi.org/10.1007/3-540-36504-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00646-6

  • Online ISBN: 978-3-540-36504-4

  • eBook Packages: Springer Book Archive

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