The Study of Personalized Intelligence Recommended System Based on the Borrowing Records

• Main Authors: Yen-Lin Hsu, 許晏綾
• Other Authors: Jia-Li Hou
• Format: Others
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/80384167815377956646

碩士 === 國立東華大學 === 資訊管理碩士學位學程 === 103 === In a large number of books, the readers are difficult to understand what kind of books they need. It caused many books worth reading had never been borrowed, and Lower utilization of books. In order to reduce the cost of readers looking for books and help readers to find useful information quickly and effectively, the “personal service environment” in the library retrieval system will not only help readers obtain effective collection of information, can enhance library resources utilization. This study analyzes the readers' book borrowing records using data mining technology, provide personalized recommendation function library services, considered readers’ interest and professional knowledge to provide related books for readers. It divides the readers and finds the readers that have the same interest. The readers can obtain the books which meet their expectation fast and effectively, and enhance library resources utilization. After finishing this books recommended systems, we designed the satisfaction questionnaire, the results show more than 83% of users expressed this research system can meet their special needs, more than 91.4% of the users gave positive response.