<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>How to find books suitable for them from the massive book information is a problem that needs to be considered at present for university library users. This paper proposes a personalized recommendation system for digital libraries utilizing fractional differential equations. At the same time, we use the idea of a collaborative filtering algorithm to recommend books for new users. Finally, we use the accurate data of the library to design a personalized book recommendation system for university libraries. The research shows that the university library lending system based on fractional differential equations has improved user experience.</p>
</abstract>

How to find books suitable for them from the massive book information is a problem that needs to be considered at present for university library users. This paper proposes a personalized recommendation system for digital libraries utilizing fractional differential equations. At the same time, we use the idea of a collaborative filtering algorithm to recommend books for new users. Finally, we use the accurate data of the library to design a personalized book recommendation system for university libraries. The research shows that the university library lending system based on fractional differential equations has improved user experience.

University Library Lending System Model Based on Fractional Differential Equations

Library of Zhejiang University of Water Resources and Electric Power

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

How to find books suitable for them from the massive book information is a problem that needs to be considered at present for university library users. This...

University Library Lending System Model Based on Fractional Differential Equations

Pubblicato online: 15 lug 2022

Pagine: 1841 - 1848

Ricevuto: 13 apr 2022

Accettato: 23 giu 2022

DOI: https://doi.org/10.2478/amns.2022.2.0173

Parole chiave
Fractional differential equation, University Library, Book lending model, Collaborative filtering

© 2023 Quanfeng Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

University Library Lending System Model Based on Fractional Differential Equations

Pubblicato online: 15 lug 2022

Pagine: 1841 - 1848

Ricevuto: 13 apr 2022

Accettato: 23 giu 2022

DOI: https://doi.org/10.2478/amns.2022.2.0173

Parole chiaveFractional differential equation, University Library, Book lending model, Collaborative filtering

© 2023 Quanfeng Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Fractional differential equation, University Library, Book lending model, Collaborative filtering