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作 者:刘岩 LIU Yan(Zhengzhou University of Light Industry,Zhengzhou 450000,China)
出 处:《现代电子技术》2020年第14期180-182,186,共4页Modern Electronics Technique
基 金:河南省教育厅项目(2015⁃QN⁃337)。
摘 要:为了向读者推荐更多感兴趣的书目,提高读者对图书馆书目推荐的满意程度,文中提出基于机器学习算法的图书馆书目协同推荐系统。依托系统整体架构设计和实时协同推荐模块设计,完成系统的硬件设计;通过书目间相似度的计算和数据库设计,完成系统的软件设计,实现图书馆书目协同推荐系统的设计。结果表明,基于机器学习算法的图书馆书目协同推荐系统相比于传统协同推荐系统,读者的满意程度提升了77%,读者可以阅览更多感兴趣的书目。A library bibliographic collaborative recommendation system based on machine learning algorithm is proposed to recommend more interested books to readers and improve reader satisfaction with bibliographic recommendation in libraries.The hardware design of the system is completed based on the design of overall system architecture and real⁃time collaborative recommendation module,the software design of the system is completed by means of the calculation of similarity between bibliographies and database′s design,and thus the design of collaborative recommendation system for library bibliography is realized.The results show that,in comparison with the traditional collaborative recommendation system,the reader satisfaction of the library bibliography collaborative recommendation system based on machine learning algorithm has increased by 77%,and readers can read more interested books.
关 键 词:图书馆书目 协同推荐 系统设计 机器学习算法 满意程度 对比验证
分 类 号:TN911-34[电子电信—通信与信息系统] UP181[电子电信—信息与通信工程]
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