White Papers

Spam-Resilient Web Rankings Via Influence Throttling

Category: Software and Web Development, Security

Overview Web search is one of the most critical applications for managing the massive amount of distributed Web content. Due to the overwhelming reliance on Web search, there is a rise in efforts to manipulate (or spam) Web search engines. This paper develops a spam-resilient ranking model that promotes a source-based view of the Web. One of the most salient features of their spam-resilient ranking algorithm is the concept of influence throttling. They show how to utilize influence throttling to counter Web spam that aims at manipulating link-based ranking systems, especially PageRank-like systems. Through formal analysis and experimental evaluation, they show the effectiveness and robustness of their spam-resilient ranking model in comparison with existing Web algorithms such as PageRank.

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Publisher: Institute of Electrical and Electronics Engineers
File Format: PDF
Date Published: Jul 1, 2009
Format: White Papers
Topics: Spam - E-mail Fraud - Phishing, Network Security, Software Engineering

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