BlogRank: ranking weblogs based on connectivity and similarity features
AAA-IDEA '06 Proceedings of the 2nd international workshop on Advanced architectures and algorithms for internet delivery and applications
A survey of trust in computer science and the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Towards content trust of web resources
Web Semantics: Science, Services and Agents on the World Wide Web
Optimizing web structures using web mining techniques
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Detecting comment spam through content analysis
WAIM'10 Proceedings of the 2010 international conference on Web-age information management
Exponential ranking: taking into account negative links
SocInfo'10 Proceedings of the Second international conference on Social informatics
Foundations and Trends in Information Retrieval
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Search engines like Google.com use the the link structure of the Web to determine whether web pages are authoritative sources of information. However, the linking mechanism provided by HTML does not allow the web author to express different types of links, such as positive or negative endorsements of page content. As a consequence, search engine algorithms cannot discriminate between sites that are highly linked and sites that are highly trusted. We demonstrate our claim by running PageRank on a real world data set containing positive and negative links. We conclude that simple semantic extensions to the link mechanism would provide a richer semantic network from which to mine more precise Web Intelligence.