数据驱动视域下智慧图书馆阅读推荐服务的模型构建

The Model Construction of Smart Library Reading Recommendation Service from the Data-driven Perspective

通过数据驱动可以提升图书馆馆藏阅读资源数据的综合应用效果。数据驱动视域下智慧图书馆阅读推荐服务具有情景化、索引性、集成性的特征。通过阅读数据感知、处理、组织、推荐四个功能模块可以构建起阅读推荐服务模型。阅读数据感知模块是挖掘读者潜在阅读需求的数据基础;阅读数据处理模块是数据驱动相关技术实现和工作的过程;阅读数据组织模块可以实现数据到知识的转化;阅读数据推荐模块可以构建起持续优化发展的生态系统。

Driven by data,the comprehensive application effect of reading resource data in library collections can be improved.From the data driven perspective,the smart library reading recommendation service has the characteristics of contextualization,indexing and integration.A reading recommendation service model can be constructed through the four functional modules of reading data perception,processing,organization,and recommendation.The reading data perception module is the data foundation for mining potential reading needs of readers;Reading data processing module is the process of data-driven related technology realization and work;Reading data organization module can realize the conversion of data to knowledge;Reading data recommendation module can build an ecosystem of continuous optimization and development.