HYPERTEXT BROWSING - A NEW MODEL FOR INFORMATION FILTERING BASED ON USER PROFILES AND DATA CLUSTERING

Authors
SHAPIRA B SHOVAL P RAVEH A HANANI U
Citation
B. Shapira et al., HYPERTEXT BROWSING - A NEW MODEL FOR INFORMATION FILTERING BASED ON USER PROFILES AND DATA CLUSTERING, Online & CD ROM review, 20(1), 1996, pp. 3-10
Citations number
8
Categorie Soggetti
Information Science & Library Science","Information Science & Library Science
Journal title
Online & CD ROM review → ACNP
ISSN journal
13532642
Volume
20
Issue
1
Year of publication
1996
Pages
3 - 10
Database
ISI
SICI code
1353-2642(1996)20:1<3:HB-ANM>2.0.ZU;2-4
Abstract
Hypertext users often experience the 'lost in hyperspace' problem. Thi s 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. Th e result is an optimal cluster of relevant data items, custom-tailored for each user's needs.