Analysis of Spamdexing Influence and Click-fraud Link-Spam in Online Marketing
The search engine advertising has become a dominant form of online advertising and is the predominant business model of search engines. The www leading search engine Google earned 16 billion US$ with search engine advertisement in the fiscal year 2007. The advertiser does not usually pay for the impression of the ad, but for a click on the advertisement. Fraudulent clicks present an inherent problem of this so called pay-per-click model. Click fraud represent any procedure that illegally exploits pay-per click markets. In particular, click fraud resolves around intentional clicks without intent to interact with the advertiser. In this context, a class action against several search engine providers in 2005 attracted attention (DELANEY 2005). To what extend, search engine providers are liable for the manipulation of clicks and click rates, was not finally judicially clarified. Google settled the class action by agreeing to pay its advertisers 90 billion US $. Click fraud represents a general threat for the pay-per-click model as well as a more specific threat for the business model of search engines. Search engine providers need to ascertain the reliability and correctness of the pay per-click model to preserve the trust of advertisers. Advertisers likewise need to consider click fraud in their decision process for the future configuration of advertising campaigns. In this contribution, we illustrate the main consequences of fraudulent clicks on frequently used measures of search engine advertising. Thereby, we support the early detection of and defense against click fraud in web.
S. Sasikala, Dr. S. K. Jayanthi “Link Spam Detection based on DBSpamClust with Fuzzy C-Means Clustering”, International Journal of Next-Generation Networks (IJNGN), Vol IV Dec 2010 (ISSN No: Online ISSN No 0975-7023 , Print ISSN No 0975-7252) - Impact Factor: 0.2334 , DOI: 10.5121/ijngn.2010.2401. This journal is published by AIRCC - Academy & Industry Research Collaboration Center (AIRCC), indexed in DocStoc, Google Scholar, arXiv digital repository, Cornell University, New York supported by NSF
S. Sasikala, Dr. S. K. Jayanthi , IEEE 2011 3rd International Conference on Machine Learning and Computing, Singapore, Cliques-Attacks Detection in Web Search Engine for Spamdexing using K-Clique Percolation Technique (Listed in IEEE Xplore)
S. Sasikala, Dr. S. K. Jayanthi ,IEEE 2011 International Conference on Network and Computer Science (ICNCS 2011) ,Kanyakumari, Perceiving LinkSpam based on DBSpamClust+ (Listed in IEEE Xplore)
“Hyperlink Structure Attribute Analysis for Detecting Link Spamdexing “ International Conference on Advances in Computer Science –AET-ACS 2010 (conducted by ACEEE and Published by ACEEE CPS and will be available in Engineers Network Search Digital Library) at Mascot convention center, Trivandrum, Kerela on 2010(ISBN and Online digital library availability)
“Effective IR Enabled by Twofold Focussed Crawler with Link-Spam Analyzer” International Conference On Emerging Trends In Mathematics And Computer Applications – 2010 (Icetmca’10) Venue: Mepco shlenk college of engineering , Sivakasi on 2010 (ISBN)
“A Prototype for Efficient Information Retrieval Enabled with Topical Crawler Utilizing Link Spam Trapper” , International Conference on Embedded Systems ICES 2010 at Coimbatore Institute of Technology, Coimbatore organized by CIT in association with Oklahoma State University, Stillwater, USA on 2010
“Reviewing Spamdexing Inferences on Web and State-of-Art Spam Techniques” UGC Sponsored National Conference on Recent Advancements in Statistics and Computer Applications on Bharathiar University, Coimbatore at Dec 2010
Moran, M./Hunt, B. 2006: Search Engine Marketing, Inc - Driving Search Traffic To Your Company’s Web Site, Ibm Press, Upper Sadle River 2006.
Kitts, B./Leblanc, B. 2004: Optimal Bidding On Keyword Auctions, Electronic Markets, Vol. 14, 2004, No. 3, 186-201.
Kitts, B./Laximinarayan, P./Leblanc, B./Meech, R. 2005: A Formal Analysis Of Search Auctions Including Predictions On Click Fraud And Bidding Tactics”, Proceedings Of The Acm Conference On E-Commerce, Ec 2005, Workshop On Sponsored Search, Vancouver, Canada, 2005,
Jansen, B. J./Spink, A. 2006: How Are We Searching The World Wide Web? A Comparison Of Nine Search Engine Transaction Logs, Information Processing And Management, Vol. 42, 2006, No. 1, 248-263.
Gyöngyi, Z./Garcia-Molina, H. 2005: Web Spam Taxonomy, Proceedings Of The First Workshop On Adversarial Information Retrieval On The Web, Airweb 2005, Chiba, Japan, 2005, 39-47.
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