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The impact of sponsored results on the quality of information gatekeepers
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ACM International Conference Proceeding Series; Vol. 258 archive
Proceedings of the ninth international conference on Electronic commerce table of contents
Minneapolis, MN, USA
SESSION: Session M7: sponsored search on the internet II table of contents
Pages: 147 - 152  
Year of Publication: 2007
ISBN:978-1-59593-700-1
Authors
Hemant Bhargava  University of California at Davis, Davis, CA
Juan Feng  University of Florida, Gainesville, FL
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

Information gatekeepers, such as Internet search engines, travel experts, comparison shopping systems, credit raters, radio deejays, and movie critics, are an essential entry point for many information search and decision making tasks. They make recommendations on these tasks based on their expertise, but also frequently due to sponsorship by interested merchants. We develop and analyze a tractable model in which consumers may prefer or dislike the use of sponsored results in the recommendations, merchants' value for sponsorship increases with the gatekeeper's user base, and when there are negative externalities among merchants competing for consumers' attention. The optimal strategy strikes a balance between sponsorship revenues from merchants and user-based revenues. The gatekeeper may employ sponsored recommendations even when doing so is detrimental to users, or may not present enough sponsored results even when these improve the quality of recommendations. Product innovations or better domain expertise give the gatekeeper greater flexibility in using sponsored results.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Hemant Bhargava: colleagues
Juan Feng: colleagues