A Research on Automatic Recommendation for Classification and Subject Headings of New Book Bibliographies

• Main Authors: Jen-Hao Tang, 唐仁壕
• Other Authors: 黃乾綱
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/eq28na

碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 105 === Librarians spend a lot of time and efforts on new book bibliography. They choose moderate classification and subject headings for new books according to the rule from the manual and the experience from their career. This research offers an approach to build an automatic recommendation system to suggest classification codes and subject headings of new books. By the concept of information retrieval, we built the index of the bibliography data to search for the candidate classification codes and subject headings. After that, the system sort the candidate list to find the recommended results. The whole system is divided into 4 parts: data pre-process, data indexing, candidate retrieval & ranking process, and rule classification. The goal of this research is to help librarians’ daily work for new book bibliography and increase the efficiency of their works. Besides, the research also finds out some interesting issues for recommendation systems applied for the real library data set.