大数据时代智慧档案信息服务平台智能分析系统设计与实现

Design and Implementation of Intelligent Analysis System of Intelligent Archives Information Service Platform in the Era of Big Data

档案信息大数据平台在实际的应用过程中,会产生大量的价值数据包括用户行为特征数据,合理开发利用现有的数据,可以更加精准提升平台服务体验。本文利用大数据分析相关技术,从平台数据维度进行深入分析,利用ABP(ASP、NET样板项目)技术对平台进行搭建,设计出可以提供多维度、多指标的交叉分析能力的智能可视化分析系统。智慧档案信息服务平台利用该智能分析系统,可以满足用户个性化数据分析的需求,从而提升了平台用户的满意度,进而为平台服务效率的提升提供了依据。

In the actual application process of the archival information big data platform,a large amount of valuable data will be generated,including user behavior characteristic data.Rational development and utilization of the existing data can more accurately improve the platform service experience.This paper uses big data analysis related technologies to conduct in-depth analysis of the platform data dimensions,using ABP technology to build the platform,and design an intelligent visual analysis system that can provide multi-dimensional and multi-index cross-analysis capabilities.The intelligent archives information service platform utilizes the intelligent analysis system to meet the needs of users for personalized data analysis,thereby improving the satisfaction of platform users,and thus providing a basis for the improvement of platform service efficiency.