Hypertext browsing: A new model for information filtering based on user profiles and data clustering

Bracha Shapira, Peretz Shoval, Adi Raveh, Uri Hanani

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Hypertext users often experience the 'lost in hyperspace' problem. This study suggests a solution which restricts the amount of information made available to the user, thus allowing improved hypertext browsing. An algorithm calculates the set of most relevant hypertext nodes for the user, utilising the user profile and data clustering technique. The result is an optimal cluster of relevant data items, custom-tailored for each user's needs.

Original languageEnglish
Pages (from-to)3-9
JournalOnline and CDROM Review
Volume20
Issue number1
DOIs
StatePublished - 1 Jan 1996

ASJC Scopus subject areas

  • General Engineering

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