Click fraud resistant methods for learning click-through rates

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3828 LNCS, Issue , 2005, Pages 34-45

  Immorlica, Nicole ^a   Jain, Kamal ^a   Mahdian, Mohammad ^a   Talwar, Kunal ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC COMMERCE; INTERNET; LEARNING ALGORITHMS; MICE (COMPUTER PERIPHERALS); ONLINE SEARCHING; SEARCH ENGINES;

CLICK FRAUD RESISTANT METHODS; CLICK-BASED ALGORITHMS; FRAUDULENT ATTACK; PAY-PER-CLICK;

WORLD WIDE WEB;

EID: 33744939995     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11600930_5     Document Type: Conference Paper

References (10)

1. J. Feng, H. K. Bhargava, and D. Pennock. Comparison of allocation rules for paid placement advertising in search engines. In Proceedings of the fifth International Conference on Electronic Commerce, Pittsburgh, PA, USA, 2003.
2. J. Goodman. Pay-per-percentage of impressions: an advertising method that is highly robust to fraud. Workshop on Sponsored Search Auctions, 2005.
3. http://adwords.google.com.
4. Hemant Bhargava Juan Feng and David Pennock. Implementing paid placement in web search engines: Computational evaluation of alternative mechanisms", accepted by informs journal of computing,
5. to appear in the Informs Journal of Computing.
6. D. Mitchell. Click fraud and halli-bloggers. New York Times, July 16, 2005.
7. http://searchmarketing.yahoo.com.
8. A. Penenberg. Click fraud threatens web. Wired News, October 13, 2004.
9. B. Stone. When mice attack: Internet scammers steal money with 'click fraud'. Newsweek, January 24, 2005.
10. N. Vidyasagar. India's secret army of online ad 'clickers'. The Times of India, May 3, 2004.