Resumen de University Library Lending System Model Based on Fractional Differential Equations
How to find books suitable for them from the massive book information is a problem that needs to be consideredat present for university library users. This paper proposes a personalized recommendation systemfor digital libraries utilizing fractional differential equations. At the same time, we use the idea of a collaborative filteringalgorithm to recommend books for new users. Finally, we use the accurate data of the library to designa personalized book recommendation system for university libraries. The research shows that the university librarylending system based on fractional differential equations has improved user experience.
