Adversarial information retrieval aspects of sponsored search

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Search engines are commercial entities that require revenue to survive. The most prevalent revenue stream for search engines is sponsored search, where content providers have search engines service their links to users in response to queries or in a contextual manner on relevant Web sites. In exchange for providing this service, content providers pay search engines based on the number of clicks (i.e., a click being a visit by a user to the content providers Web page). This business model has proven to be very effective for the search engines, content providers, and searchers. However, click fraud, a unique form of adversarial information retrieval, threatens this business model and, therefore, the "free search" that has rapidly become indispensable to the daily lives of many people. In this paper, we outline how sponsored search is a unique form of information retrieval - not just a mode of advertising, what is click fraud, how click fraud happens, and what are some possible countermeasuresr.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd Int. Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, SIGIR 2006
Pages33-36
Number of pages4
StatePublished - 2006
Event2nd International Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2006 - Seattle, WA, United States
Duration: Aug 10 2006Aug 10 2006

Other

Other2nd International Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2006
CountryUnited States
CitySeattle, WA
Period8/10/068/10/06

Fingerprint

Search engines
Information retrieval
Websites
Marketing
Industry

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Jansen, B. J. (2006). Adversarial information retrieval aspects of sponsored search. In Proceedings of the 2nd Int. Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, SIGIR 2006 (pp. 33-36)
Jansen, Bernard J. / Adversarial information retrieval aspects of sponsored search. Proceedings of the 2nd Int. Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, SIGIR 2006. 2006. pp. 33-36
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abstract = "Search engines are commercial entities that require revenue to survive. The most prevalent revenue stream for search engines is sponsored search, where content providers have search engines service their links to users in response to queries or in a contextual manner on relevant Web sites. In exchange for providing this service, content providers pay search engines based on the number of clicks (i.e., a click being a visit by a user to the content providers Web page). This business model has proven to be very effective for the search engines, content providers, and searchers. However, click fraud, a unique form of adversarial information retrieval, threatens this business model and, therefore, the {"}free search{"} that has rapidly become indispensable to the daily lives of many people. In this paper, we outline how sponsored search is a unique form of information retrieval - not just a mode of advertising, what is click fraud, how click fraud happens, and what are some possible countermeasuresr.",
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Jansen, BJ 2006, Adversarial information retrieval aspects of sponsored search. in Proceedings of the 2nd Int. Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, SIGIR 2006. pp. 33-36, 2nd International Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2006, Seattle, WA, United States, 8/10/06.

Adversarial information retrieval aspects of sponsored search. / Jansen, Bernard J.

Proceedings of the 2nd Int. Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, SIGIR 2006. 2006. p. 33-36.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Adversarial information retrieval aspects of sponsored search

AU - Jansen, Bernard J.

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AB - Search engines are commercial entities that require revenue to survive. The most prevalent revenue stream for search engines is sponsored search, where content providers have search engines service their links to users in response to queries or in a contextual manner on relevant Web sites. In exchange for providing this service, content providers pay search engines based on the number of clicks (i.e., a click being a visit by a user to the content providers Web page). This business model has proven to be very effective for the search engines, content providers, and searchers. However, click fraud, a unique form of adversarial information retrieval, threatens this business model and, therefore, the "free search" that has rapidly become indispensable to the daily lives of many people. In this paper, we outline how sponsored search is a unique form of information retrieval - not just a mode of advertising, what is click fraud, how click fraud happens, and what are some possible countermeasuresr.

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M3 - Conference contribution

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EP - 36

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Jansen BJ. Adversarial information retrieval aspects of sponsored search. In Proceedings of the 2nd Int. Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2006 - 29th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, SIGIR 2006. 2006. p. 33-36