Design and Implementation of a Book Borrowing Management System Based on Intelligent Recommendation Algorithm

Authors

  • Bingbing Chen
  • Bing Li
  • Zhenlong Hu

DOI:

https://doi.org/10.54097/ajst.v7i3.12691

Keywords:

PHP; MySQL database, Intelligent recommendation algorithm, Book borrowing.

Abstract

A library is an institution that collects and organizes book materials for people to read and reference. The design of this system is aimed at information-based management of the library's borrowing function, enabling it to achieve the practical goal of improving the work efficiency of administrators. The book borrowing management system in this article adopts a B/S architecture, PHP language, and MySQL database. The administrator of this system can manage the library's book information, reader information, and borrowing and returning information; Readers and users can query book information, modify personal information, and report the loss of their own documents. Unlike general book borrowing management systems, this system uses intelligent recommendation algorithms to recommend books to readers based on their borrowing records. The article provides a detailed introduction to the technical architecture used in the development of the system, as well as a description of various functions of the system. It also studies the functional requirements, usage process, architecture, and database table design of the book borrowing management system.

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References

Zhou Y .Design and Implementation of Book Recommendation Management System Based on Improved Apriori Algorithm[J].Intelligent Information Management, 2020, 12(3):75-87.DOI:10.4236/iim.2020.123006.

Xueyuan W , Bo Y .Design and Implementation of an Apriori-Based Recommendation System for College Libraries [C]//International Conference on Engineering Simulation and Intelligent Control.0[2023-09-19].DOI:10.1109/ESAIC.2018.00094.

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Published

27-10-2023

Issue

Section

Articles

How to Cite

Chen, B., Li, B., & Hu, Z. (2023). Design and Implementation of a Book Borrowing Management System Based on Intelligent Recommendation Algorithm. Academic Journal of Science and Technology, 7(3), 7-9. https://doi.org/10.54097/ajst.v7i3.12691