Research On AI And Promotion Of Digital Reading Of Public Libraries

With the continuous promotion of national reading and the advent of the digital age,digital reading is the main reading means that people can not ignore.In 2021,the number of digital reading users in China will reach 506 millions,and more and more people will join the digital reading group.As a public cultural and educational organization in China,public libraries play a major role in guiding and promoting digital reading;The popularization of digital reading is not only an important policy action with the participation of the whole people,but also one of the core tasks for the long-term development of public libraries.The wide application and development trend of AI technology provides a good opportunity for the innovation and practice of digital reading promotion in public libraries.In order to make use of the advantages of AI technology in the digital field,public libraries have carried out relevant digital reading promotion activities and accumulated some experience.This paper analyzes the main body of digital reading promotion,the content of digital reading promotion,the object of digital reading promotion,the channels of digital reading promotion and the evaluation of digital reading promotion,and gives some suggestions on the development of AI enabled digital reading promotion,hoping to provide support and help for the development of digital reading promotion in public libraries.With the help of AI technology,this paper will realize the intelligentization of digital reading promotion in public libraries.Based on machine learning and other technologies,it will intelligently collect readers’ digital reading needs and behavior preferences,intelligently conduct in-depth processing,intelligently generate personalized digital reading,and realize accurate push based on big data intelligence analysis,so as to guide readers’ reading to the road of personalized development.This paper adopts specific research methods such as literature research,network research,case analysis and so on.First of all,by using the search tools,the research papers related to the digital reading of AI enabled public libraries are collected as completely as possible from the Chinese and foreign language databases,and summarized,sorted out and studied.Then,the network research method is used to investigate the digital reading exhibition,digital reading competition,digital reading experience,digital reading live broadcast,digital reading game,AI technology application in digital reading recommendation,promotion subject,promotion content,promotion channel,promotion object and promotion effect of digital reading promotion in public libraries.Then,on the basis of investigation and research,it analyzes and puts forward the problems existing in the development stage,including: the main body of promotion is single,and the strength of librarians is weak;The promotion contents are homogeneous and the types of resources are few;Narrow promotion channels limit the scope of communication;The target of promotion is vague,and the readers’ positioning is inaccurate;Poor promotion effect and lagging evaluation feedback.In view of the shortcomings of digital reading promotion,combined with AI technology empowerment,the paper finally puts forward improvement measures: multi-party collaboration of promotion subjects,intelligent and efficient promotion content,interconnection of promotion channels,accurate positioning of promotion objects,and intelligent evaluation of promotion effects.