Web Document Classification based on Hyperlinks and Document Semantics

نویسندگان

  • Yin-Hung Kuo
  • Man Hon Wong
چکیده

Besides the basic content, a web document also contains a set of hyperlinks pointing to other related documents. Hyperlinks in a document provide much information about its relation with other web documents. By analyzing hyperlinks in documents, inter-relationship among documents can be identi ed. In this paper, we will propose an algorithm to classify web documents into subsets based on hyperlinks in documents and their content. Representative documents will also be identi ed in each subset based on the proposed similarity de nition With the representative document, searching for related documents can be achieved.

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تاریخ انتشار 2000