標題: Using data mining technology to provide a recommendation service in the digital library
作者: Chen, Chia-Chen
Chen, An-Pin
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: digital libraries;data collection;electronic document delivery;libraries;cluster analysis;programming and algorithm theory
公開日期: 2007
摘要: Purpose - Since library storage has been increasing day by day, it is difficult for readers to find the books which interest them as well as representative booklists. How to utilize meaningful information effectively to improve the service quality of the digital library appears to be very important. The purpose of this paper is to provide a recommendation system architecture to promote digital library services in electronic libraries. Design/methodology/approach - In the proposed architecture, a two-phase data mining process used by association rule and clustering methods is designed to generate a recommendation system. The process considers not only the relationship of a cluster of users but also the associations among the information accessed. Findings - The process considered not only the relationship of a cluster of users but also the associations among the information accessed. With the advanced filter, the recommendation supported by the proposed system architecture would be closely served to meet users' needs. Originality/value - This paper not only constructs a recommendation service for readers to search books from the web but takes the initiative in finding the most suitable books for readers as well. Furthermore, library managers are expected to purchase core and hot books from a limited budget to maintain and satisfy the requirements of readers along with promoting digital library services.
URI: http://hdl.handle.net/11536/14340
http://dx.doi.org/10.1108/02640470710837137
ISSN: 0264-0473
DOI: 10.1108/02640470710837137
期刊: ELECTRONIC LIBRARY
Volume: 25
Issue: 6
起始頁: 711
結束頁: 724
顯示於類別:期刊論文


文件中的檔案:

  1. 000252560900006.pdf