大数据挖掘视角下的图书馆智慧服务——模型、技术和服务

The Smart Service of Library from the Perspective of Big Data Mining——Model,Technology and Service

在当前"互联网+"背景下,应用大数据挖掘技术提高知识服务的智能化、个性化、自动化水平,实现智慧性的知识服务是图书馆服务的发展趋势。首先提出基于大数据挖掘的图书馆智慧服务模型,通过用户群挖掘、用户兴趣挖掘、学科和领域知识挖掘、业务关联挖掘来沟通大数据应用和智慧服务需求;然后提出基于Hadoop平台的图书馆大数据挖掘技术支撑体系,为智慧服务应用落地提供技术方案;最后探讨大数据挖掘支持下的场景化知识推荐服务和微知识自动问答服务。

Under the current background of ＂ Internet＋＂,using the big data mining technology to promote the level of intellectualization,personalization and automation of knowledge service to realize the smart knowledge service is the development trend of library service. Firstly,the smart service model of library based on big data mining was proposed,and user group mining,user interest mining,subject and domain knowledge mining and business association mining were used to bridge the gap between the big data application and requirements of smart service. Then the technical support system of library big data mining based on Hadoop platform was suggested to provide technical solution for implementation of smart service applications. And finally,the scenario knowledge recommendation service and the automatic micro-knowledge QA service with the support of big data mining were discussed.