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大数据分析技术克服了传统用户信息搜索行为研究方法的不足,为用户信息搜索行为的研究提供了一个全新的理论视角和实践工具。文章阐述了搜索前、搜索中、搜索后的三阶段用户信息搜索行为模型以及基于数据处理流程的大数据分析体系结构,并将两者结合构建了用户信息搜索行为大数据分析框架;介绍了物联网、大数据可视化等关键技术在用户信息搜索行为研究中的应用;旨在为基于大数据分析的用户信息搜索行为的研究提供理论依据。该理论对完善信息资源平台的建设、开发新型信息服务模式具有重要意义。
Big Data Analysis overcomes the shortcomings of traditional user information search behavior research methods and provides a new theoretical perspective and practical tool for the research of user information search behavior. This paper describes the three-phase user information search behavior model before search, search, search and the big data analysis architecture based on data processing flow, and combines the two to construct the big data analysis framework of user information search behavior. Networking, big data visualization and other key technologies in the research of user information search behavior; to provide a theoretical basis for the research of user information search behavior based on big data analysis. This theory is of great significance to improving the construction of information resources platform and developing new information service mode.