Design of an Intelligent Reading Promotion Platform for Libraries Based on Multi-Source Data Fusion
A library,as an important place for knowledge dissemination,its service mode is gradually changing to the direction of intelligence and personalization.Therefore,a design scheme of library intelligent reading promotion platform based on multi-source data fusion is proposed to improve the service quality and user experience of the li-brary.Based on this,on the basis of expounding the overview of multi-source data fusion,this paper analyzes the functional requirements of the intelligent reading promotion platform in library,and integrates information such as library internal data,user behavior data and social media data by using multi-source data fusion to construct a com-prehensive user portrait and achieve accurate reading recommendation and service.In terms of platform design,a complete architecture is designed(including data base layer,data fusion layer and platform system layer),and the business process of library intelligent reading promotion platform is defined to verify the effectiveness of the plat-form.The results show that the intelligent reading promotion platform promotes the effective utilization of library resources,and based on the integration of multi-source data,users'reading satisfaction is obviously improved.The platform is expected to provide a new path and solution for the transformation of libraries in the digital age.
Multi-source data fusionLibraryIntelligent reading promotionUser portraitPersonalized recom-mendations
万方数据
维普
