大数据分析技术的图书馆信息检索系统设计与研究

Design and research of library information retrieval system based on big data analysis technology

针对当前图书馆信息检索系统存在信息检索误差大、工作效率低等难题,为了获得理想图书馆信息检索结果,设计了一种基于大数据分析技术的图书馆信息检索系统。首先对图书馆信息检索系统的功能进行描述,建立了图书馆信息检索系统的总体框架;然后对图书馆信息检索的硬件子系统和软件子系统分别进行了详细设计,并重点描述了图书馆信息检索算法;最后在相同实验条件下,与其他图书馆信息检索系统做了仿真对比测试。测试结果表明,相对于其他图书馆信息检索系统,文中系统的图书馆信息检索精度得到了大幅度的提升,同时加快了图书馆信息检索速度,可以为学生快速、精确检测到真正需要的信息,可以应用于实际的高校图书馆管理中,具有较高的实际应用价值。

The current library information retrieval system has some deficiencies,like big information retrieval error and low working efficiency.Therefore,a library information retrieval system based on big data analysis technology is proposed for ideal retrievals.The functions of the library information retrieval system is described,and the general framework is built.Then,its hardware subsystem and software subsystem are designed in detail.Moreover,the algorithm of the library information retrieval is described.Simulation test was performed to compare the proposed system and other systems under the same experimental conditions.The test results show that,in comparison with other library information retrieval systems,the retrieval accuracy of this system is greatly improved and the retrieval speed is accelerated,too.It can quickly and accurately detect the information that the students really need.Therefore,the system has a high practical application value in the practical management of university library.