Web document clustering using hyperlink structures

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Description

With the exponential growth of information on the World Wide Web there is great demand for developing efficient and effective methods for organizing and retrieving the information available. Document clustering plays an important role in information retrieval and taxonomy management for the World Wide Web and remains an interesting and challenging problem in the field of web computing. In this paper we consider document clustering methods exploring textual information hyperlink structure and co-citation relations. In particular we apply the normalized cut clustering method developed in computer vision to the task of hyperdocument clustering. We also explore some theoretical connections of ... continued below

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22 pages

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He, Xiaofeng; Zha, Hongyuan; Ding, Chris H.Q & Simon, Horst D. May 7, 2001.

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Description

With the exponential growth of information on the World Wide Web there is great demand for developing efficient and effective methods for organizing and retrieving the information available. Document clustering plays an important role in information retrieval and taxonomy management for the World Wide Web and remains an interesting and challenging problem in the field of web computing. In this paper we consider document clustering methods exploring textual information hyperlink structure and co-citation relations. In particular we apply the normalized cut clustering method developed in computer vision to the task of hyperdocument clustering. We also explore some theoretical connections of the normalized-cut method to K-means method. We then experiment with normalized-cut method in the context of clustering query result sets for web search engines.

Physical Description

22 pages

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OSTI as DE00815474

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  • Other Information: PBD: 7 May 2001

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  • Report No.: LBNL--47971
  • Grant Number: AC03-76SF00098
  • DOI: 10.2172/815474 | External Link
  • Office of Scientific & Technical Information Report Number: 815474
  • Archival Resource Key: ark:/67531/metadc735609

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Creation Date

  • May 7, 2001

Added to The UNT Digital Library

  • Oct. 18, 2015, 6:40 p.m.

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  • April 4, 2016, 2:44 p.m.

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He, Xiaofeng; Zha, Hongyuan; Ding, Chris H.Q & Simon, Horst D. Web document clustering using hyperlink structures, report, May 7, 2001; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc735609/: accessed September 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.