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Using Document Structures for Personal Ontologies and User Modeling*

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User Modeling 2001 (UM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2109))

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Abstract

We present a new approach that makes use of the embedded structural information of the documents which a user frequently refers to for deriving a personalized concept hierarchy and for identifying user preferences concerning document searching and browsing.

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References

  1. Ganter, B., Wille, R.: Applied Lattice Theory: Formal Concept Analysis. Preprints, http://wwwbib.mathematik.tu-darmstadt.de/Math-Net/Preprints/Listen/pp97.html (1997)

  2. Shaw, W., Wood, R., Tibbo, H.: The Cystic Fibrosis Database: Content and Research Opportunities. Int. J. Library and Information Science Research Vol. 13. (1991) 347–366

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  3. Sutton, R., Barto, A.: Reinforcement Learning: An Introduction. http://wwwanw.cs.umass.edu/~rich/book/the-book.html (1998)

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© 2001 Springer-Verlag Berlin Heidelberg

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Kim, S., Hall, W., Keane, A. (2001). Using Document Structures for Personal Ontologies and User Modeling*. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds) User Modeling 2001. UM 2001. Lecture Notes in Computer Science(), vol 2109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44566-8_33

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  • DOI: https://doi.org/10.1007/3-540-44566-8_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42325-6

  • Online ISBN: 978-3-540-44566-1

  • eBook Packages: Springer Book Archive

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