Predictive Analysis and Prioritization Optimization of Library Book Borrowing using Machine Learning

Registration ID: IJNRD_204312

Published ID: IJNRD2309066

DOI: Click Here to Get

Kadiri Jithendra Kumar Reddy , Sanga Srinath

Priority list, Machine learning, Library Management System, Issue date, Borrow date

This research paper presents a comprehensive approach to enhancing the management of library resources through predictive analysis and optimization using machine learning techniques. The primary objective is to predict book borrowing trends, prioritize popular books, and optimize the availability of books for library users. The proposed system employs data-driven strategies to determine the popularity of books based on borrowing history, forecast future demand, and calculate return dates. This research contributes to the efficient allocation of library resources and improved user experience.

Published Paper   E-Certificate

Kadiri Jithendra Kumar Reddy & Sanga Srinath (September-2023). Predictive Analysis and Prioritization Optimization of Library Book Borrowing using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), a543-a546. https://ijnrd.org/papers/IJNRD2309066.pdf

Volume 8 Issue 9, September-2023

Pages : a543-a546

Paper Reg. ID: IJNRD_204312

Published Paper Id: IJNRD2309066

Downloads: 000121981

Research Area: Computer Science & Technology 

Country: Kurnool, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309066.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309066

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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