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Web page classification

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dc.contributor.author Qi Xiaoguang
dc.contributor.author Davison Brian D.
dc.date.accessioned 2018-02-05T14:34:14Z
dc.date.available 2018-02-05T14:34:14Z
dc.date.issued 2009
dc.identifier.uri http://hdl.handle.net/123456789/7136
dc.description.abstract Classification of Web page content is essential to many tasks in Web information retrieval such as maintaining Web directories and focused crawling. The uncontrolled nature of Web content presents additional challenges to Web page classification as compared to traditional text classification, but the interconnected nature of hypertext also provides features that can assist the process. As we review work in Web page classification, we note the importance of these Web-specific features and algorithms, describe state-of-the-art practices, and track the underlying assumptions behind the use of information from neighboring pages.
dc.format application/pdf
dc.language.iso English
dc.publisher Association for Computing Machinery (ACM)
dc.title Web page classification
dc.type journal-article
dc.identifer.doi 10.1145/1459352.1459357
dc.source.volume 41
dc.source.issue 2
dc.source.journal ACM Comput. Surv


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