✦ LIBER ✦

A Web-based collaborative filtering system

✍ Scribed by Dong-Seop Lee; Gye-Young Kim; Hyung-Il Choi

Publisher: Elsevier Science
Year: 2003
Tongue: English
Weight: 133 KB
Volume: 36
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(02)00025-0

No coin nor oath required. For personal study only.

✦ Synopsis

In this paper we describe a collaborative ÿltering system for automatically recommending high-quality information to users with similar interests on arbitrarily narrow information domains. It asks a user to rate a gauge set of items. It then evaluates the user's rates and suggests a recommendation set of items. We interpret the process of evaluation as an inference mechanism that maps a gauge set to a recommendation set. We accomplish the mapping with fuzzy associative memory. We implemented the suggested system in a Web server and tested its performance in the domain of retrieval of technical papers, especially in the ÿeld of information technologies. The experimental results show that it may provide reliable recommendations.

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