针对公共文化共享服务的大数据采集和分析平台研究

Research on Big Data Acquisition and Analysis Platform for Public Cultural Sharing Services

为了在公共数字文化共享平台搭建的设施方面提升服务水平,文章针对公共数字文化共享服务中,大数据的采集与分析环节,提出一系列的模型设计构思。在数据采集阶段,将采集数据划分成三大类型;在大数据分析阶段,采取云平台的三层架构,并在各层嵌入模块化设计,并对模块的实现技术进行深入阐述。共享服务数据分析平台的数据处理的演示,通过公共文化资源个性化推荐系统,将有助于用户获取更有价值的文化资源。

To improve the service levels of infrastructure built in public digital culture sharing platform,this paper,according to the links of large data collection and analysis in public digital culture sharing service,puts forward a series of model design conception. In the data collection phase,the data collected is divided into three types: in the phase of big data analysis,the three-tier architecture of cloud platform is adopted,and the modular design is embedded in each layer,and the realization technology of the module is elaborated. Data processing demonstration of sharing service data analysis platform,through personalized recommendation system of public cultural resources,will help the users to obtain more valuable cultural resources.