基于云计算技术的图书馆荐购系统设计  

Design of Library Recommendation System Based on Cloud Computing Technology

作　　者：朱锰钢[1] 张驰[2] 张县 ZHU Meng-gang;ZHANG Chi;ZHANG Xian(Library,Xi’an University,Xi’an 710065,China;Library,Northwest University of Political Science and Law,Xi’an 710122,China;Library,Xi’an Eurasia University,Xi’an 710065,China)

机构地区：[1]西安文理学院图书馆,西安710065 [2]西北政法大学图书馆,西安710122 [3]西安欧亚学院图书馆,西安710065

出　　处：《西安文理学院学报（自然科学版）》2023年第1期40-45,共6页Journal of Xi’an University(Natural Science Edition)

摘　　要：图书馆荐购是广泛获取用户需求和促进资源建设的重要形式,为此设计基于云计算技术的图书馆荐购系统.使用系统数据源层收集图书数据和用户信息,利用云计算平台层对收集的数据进行抽取、清洗和转换等处理,以消除数据内噪声.分布式Hadoop计算与分布式存储模块,用于完成数据处理任务的分配和处理结果存储,在此基础上,业务应用层采用图书荐购模块,通过云图书检索、Web图书检索以及图书推荐引擎组三个模块的相互协作,实现图书馆荐购.实验结果表明:针对不同图书用户,该系统产生的推荐结果类型与荐购图书类型完全相同;Web图书检索模块能为用户确认是否荐购所浏览图书提供有效参考,并且可以避免图书重复荐购和荐购金额超标的情况.Library recommendation is an important form of widely obtaining user needs and promoting resource construction.Therefore,a library recommendation system based on cloud computing technology is designed.The system data source layer is used to collect book data and user information,and the cloud computing platform layer is used to extract,clean and transform the collected data to eliminate the internal noise of the data.The distributed Hadoop computing and distributed storage module is used to complete the allocation of data processing tasks and the storage of processing results.On this basis,the business application layer adopts the book recommendation module,and realizes the library recommendation through the collaboration of the three modules of cloud book retrieval,Web book retrieval and book recommendation engine group.The experimental results show that the type of recommended results generated by the system is exactly the same as the type of recommended books for different book users.The Web book retrieval module can provide effective reference for users to confirm whether to recommend the books they have browsed,and can avoid repeated recommendation and excessive amount of recommended books.

关 键 词：云计算技术 图书馆 荐购系统 Hadoop计算 云图书检索 推荐引擎组 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术] TP311.13[自动化与计算机技术—计算机科学与技术]