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Position: Home > Articles > Design and Implementation of Personalized New Books Recommendation System Journal of Library and Information Science in Agriculture 2017 (7) 52-56

个性化新书推荐系统的设计与实现

作  者:
谢发徽
单  位:
闽南师范大学图书馆
关键词:
个性化;数据挖掘;聚类;推荐
摘  要:
以读者的借阅记录数据为基础,运用SPSS数据挖掘工具进行聚类分析,挖掘出与读者专业相关的图书类别。通过设计个性化新书推荐系统,将读者的个性化专业图书与入馆新书进行关联与匹配,生成个性化的新书书目,以邮件方式推荐给读者。
译  名:
Design and Implementation of Personalized New Books Recommendation System
作  者:
XIE Fahui;Minnan Normal University;
关键词:
personality;;data mining;;cluster;;recommendation
摘  要:
Based on the readers' borrowing history data, this paper excavated the book categories related to the readers' majors through using the method of cluster analysis in SPSS data mining tool, and designed the personalized new books recommendation system to associate and match the readers' professional book preference with new books,and produce the personalized new book categories and recommend to the readers by email.

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