Design and Implementation of New Books Noting Personalized Recommendation System Based on Circulation Logs
Li Gaohu1, Gao Song1, Tang Xiaoxin2, Cao Hongbing2, Tang Qiuhong3,4
1. Beijing University of Posts and Telecommunications Assets Management Co., Ltd, Beijing 100876, China;
2. Guangxi University Library, Nanning 530004, China;
3. Management School, Jinan University, Guangzhou 510632, China;
4. Xingjian College of Science and Liberal Arts, Guangxi University, Nanning 530005, China
Abstract：Based on circulation logs of library automation systems, the paper builds a data warehouse using the method of cluster analysis in SPSS data mining tools, and mines the classification modes between readers and books. By the classification result sets of new books personalized recommendations, new books are recommended to readers who are interested in. The paper also takes MELINETS II as an example, designs and achieves the application of the personalized recommendation system.
李高虎, 高嵩, 唐小新, 曹红兵, 唐秋鸿. 个性化新书通报推荐系统的设计与实现[J]. 现代图书情报技术, 2012, 28(6): 89-93.
Li Gaohu, Gao Song, Tang Xiaoxin, Cao Hongbing, Tang Qiuhong. Design and Implementation of New Books Noting Personalized Recommendation System Based on Circulation Logs. New Technology of Library and Information Service, 2012, 28(6): 89-93.
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