Apply Data Mining Techniques to Implement Personalized Retrieval and Recommendation on Digital Library － the Library of NHU for example

• Main Authors: Yu-Ling Cheng, 鄭玉玲
• Other Authors: Hung - Pin Chiu
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/07289752881735063109

碩士 === 南華大學 === 資訊管理學研究所 === 91 === 　　Due to the rapid advance of computer-related technology, the large quantities of electronic data produced everyday has been explored and analyzed to discover meaningful information so as to enhance the service quality of digital library. The objective of this study is to enable personalized retrieval and recommendation services on digital library. We utilize the well-defined “New Classification Scheme For Chinese Libraries” to support audience to retrieve the books that they really want. Besides, memory-based reasoning was applied to assign the unlabeled user to the cluster of its nearest labeled neighbors based on some predefined measures of users’ characteristics. Association rules discovered from the books borrowed by the readers in the same cluster are used as the basis of book recommendation. A simple clustering algorithm was exploited to speed up the processing time of recommendation. The experimental results show that the proposed approaches are effective in promoting the searching efficiency and accuracy of the system.