基于联机公共检索目录的读者隐性信息行为个性化书目推荐引擎构建

摘要

文章以图书馆集成管理系统的日志数据为基础,从中提取出读者的信息行为记录,通过一定的推荐算法分析,采用开源的Apache Mahout,为读者构建了一个简单、方便、快速的同趣、同类书目推荐引擎,提高了读者对所需图书的可发现性,有利于读者的个性化服务。%Based on the log data of the integrated library management system,this paper extracts the readers' information behavior records,and after certain analysis by recommendation algorithm,constructs a simple,convenient and fast book recommendation engine with common interest of users and similar types of books by the use of open source Apache Mahout.The engine increases the discoverability of the readers for required books and helps to provide personalized service for readers.