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A prototype WWW literature recommendation system for digital libraries

A prototype WWW literature recommendation system for digital libraries This article describes a service for providing literature recommendations, which is part of a networked digital library project whose principal goal is to develop technologies for supporting digital services. The proposed literature recommendation system makes use of the Web usage logs of a literature digital library. The recommendation framework consists of three sequential steps: data preparation of the Web usage log, discovery of article associations, and article recommendations. We discuss several design alternatives for conducting these steps. These alternatives are evaluated using the Web logs of our university's electronic thesis and dissertation (ETD) system. The proposed literature recommendation system has been incorporated into our university's ETD system, and is currently operational. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Online Information Review Emerald Publishing

A prototype WWW literature recommendation system for digital libraries

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References (43)

Publisher
Emerald Publishing
Copyright
Copyright © 2003 MCB UP Ltd. All rights reserved.
ISSN
1468-4527
DOI
10.1108/14684520310481436
Publisher site
See Article on Publisher Site

Abstract

This article describes a service for providing literature recommendations, which is part of a networked digital library project whose principal goal is to develop technologies for supporting digital services. The proposed literature recommendation system makes use of the Web usage logs of a literature digital library. The recommendation framework consists of three sequential steps: data preparation of the Web usage log, discovery of article associations, and article recommendations. We discuss several design alternatives for conducting these steps. These alternatives are evaluated using the Web logs of our university's electronic thesis and dissertation (ETD) system. The proposed literature recommendation system has been incorporated into our university's ETD system, and is currently operational.

Journal

Online Information ReviewEmerald Publishing

Published: Jun 1, 2003

Keywords: Recommendations; Web sites; Cluster analysis; Data mining

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