Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Proceedings of the 11th international conference on World Wide Web
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
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
Detecting phrase-level duplication on the world wide web
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Site level noise removal for search engines
Proceedings of the 15th international conference on World Wide Web
Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
Detecting semantic cloaking on the web
Proceedings of the 15th international conference on World Wide Web
Google's PageRank and Beyond: The Science of Search Engine Rankings
Google's PageRank and Beyond: The Science of Search Engine Rankings
Link spam detection based on mass estimation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A reference collection for web spam
ACM SIGIR Forum
Spam double-funnel: connecting web spammers with advertisers
Proceedings of the 16th international conference on World Wide Web
A large-scale study of link spam detection by graph algorithms
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Know your neighbors: web spam detection using the web topology
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Link analysis for Web spam detection
ACM Transactions on the Web (TWEB)
Link spam target detection using page farms
ACM Transactions on Knowledge Discovery from Data (TKDD)
Challenges in web search engines
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Trustworthiness analysis of web search results
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Using site-level connections to estimate link confidence
Journal of the American Society for Information Science and Technology
Automatic seed set expansion for trust propagation based anti-spam algorithms
Information Sciences: an International Journal
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In this paper, we present a Web spam detection algorithm that relies on link analysis. The method consists of three steps: (1) decomposition of web graphs in densely connected sub graphs and calculation of the features for each sub graph, (2) use of SVM classifiers to identify sub graphs composed of Web spam, and (3) propagation of predictions over web graphs by a biased Page Rank algorithm to expand the scope of identification. We performed experiments on a public benchmark. An empirical study of the core structure of web graphs suggests that highly ranked non-spam hosts can be identified by viewing the coreness of the web graph elements.