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Enhanced hypertext categorization using hyperlinks
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Expert Systems with Applications: An International Journal
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Artificial Intelligence Review
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In this paper, we study and compare three different but related types of metadata about web documents: social annotations provided by readers of web documents, hyperlink anchor text provided by authors of web documents, and search queries of users trying to find web documents. We introduce a large research data set called CABS120k08 which we have created for this study from a variety of information sources such as AOL500k, the Open Directory Project, del.icio.us/Yahoo!, Google and the WWW in general. We use this data set to investigate several characteristics of said metadata including length, novelty, diversity, and similarity and discuss theoretical and practical implications.