Document (#16507)

Author

Johnson, A.
Fotouhi, F.

Title

Adaptive clustering of hypermedia documents

Source

Information systems. 21(1996) no.6, S.459-473

Year

1996

Abstract

Compares the use of 2 adaptive algorithms (genetic algorithms, and neural networks) in clustering hypermedia documents. The clusters allow the user to index into the nodes and find information quickly. The clustering focuses on the user's paths through the hypermedia document and not on the content of the nodes or the structure of the links in the document, thus the clustering reflects the unique relationships each user sees among the nodes. The original hypermedia document remains untouched, and each user has a personalised index into this document

Theme

Hypertext

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3. Bulterman, D.C.: Ebedded video in hypermedia documents : supporting integration and adaptive control (1995) 0.18

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4. Tsandilas, T.; Schraefel, M.C.: Usable adaptive hypermedia systems (2004) 0.17

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5. Mather, L.A.: ¬A linear algebra measure of cluster quality (2000) 0.17

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