Hotspot analysis and future prospects of library reader recommendation research

Abstract: To explore the research hotspots of reader recommendation services in libraries both domestically and internationally in recent years, analyze the pain points and challenges of existing reader recommendation services, and propose ideas for future innovation in recommendation management models and the construction of recommendation systems, in order to improve the quality of library reader recommendation services and promote the transformation of traditional library services to intelligence.Using bibliometric methods, this study sorted out the research on reader recommendation in domestic and foreign libraries, analyzed the latest research results on reader recommendation at home and abroad, and provided an overview and analysis of the publishing body. Using the SWOT method to analyze the reader recommendation model and explore the advantages and disadvantages of the current recommendation management model.Research has found that the traditional recommendation model can no longer fully meet the requirements of smart library construction. Libraries should focus on utilizing resource advantages to build intelligent and personalized recommendation platforms based on user needs, and apply information technology to reader recommendation service scenarios.