The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Challenges in web search engines
ACM SIGIR Forum
Spam, damn spam, and statistics: using statistical analysis to locate spam web pages
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
ACM Transactions on Internet Technology (TOIT)
Identifying link farm spam pages
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Link analysis, eigenvectors and stability
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Extracting link spam using biased random walks from spam seed sets
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Adversarial Information Retrieval on the Web (AIRWeb 2007)
ACM SIGIR Forum
Detecting Link Hijacking by Web Spammers
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Link spam target detection using page farms
ACM Transactions on Knowledge Discovery from Data (TKDD)
Foundations and Trends in Information Retrieval
An analysis of optimal link bombs
Theoretical Computer Science
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Nowadays web spamming has emerged to take the economic advantage of high search rankings and threatened the accuracy and fairness of those rankings. Understanding spamming techniques is essential for evaluating the strength and weakness of a ranking algorithm, and for fighting against web spamming. In this paper, we identify the optimal spam farm structure under some realistic assumptions in the single target spam farm model. Our result extends the optimal spam farm claimed by Gyöngyi and Garcia-Molina through dropping the assumption that leakage is constant. We also characterize the optimal spam farms under additional constraints, which the spammer may deploy to disguise the spam farm by deviating from the unconstrained optimal structure.