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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Recommendation System Using Fuzzy C-Means Clustering

Recommendation System Using Fuzzy C-Means Clustering
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Author(s): Kwoting Fang (National Yunlin University Science of Technology, Taiwan) and Chung-Yuan Liu (National Yunlin University Science of Technology, Taiwan)
Copyright: 2003
Pages: 3
Source title: Information Technology & Organizations: Trends, Issues, Challenges & Solutions
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-066-0.ch036
ISBN13: 9781616921248
EISBN13: 9781466665330

Abstract

The call for customer with personalized web pages has become loud. To achieve personalized web pages, this study proposes a recommendation system with two approaches on user access behavior by fuzzy clustering method. The aim of this study is to show similar preference to the given users and recommends what they have liked. An empirical case from National Museum of History is illustrated. The recall value was used to evaluate recommended accuracy with two algorithms (item-to-item and user-to-user). It is hopefully that our proposed method may provide valuable information for administrator to manage the web site more efficiency and for users to assess the interested pages more quickly.

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