AI-Powered Library Management and Book Recommendation System

Aditi Rathore; Adarsh Singh; Tanmay Dubey; Nishad G. Deshpande

doi:10.2991/978-94-6239-707-1_27

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AI-Powered Library Management and Book Recommendation System

Authors

Aditi Rathore¹, Adarsh Singh²^{, *}, Tanmay Dubey³, Nishad G. Deshpande⁴

¹Electronics and Communication Engineering, Indian Institute of Information Technology, Surat, India

²Electronics and Communication Engineering, Indian Institute of Information Technology, Surat, India

³Electronics and Communication Engineering, Indian Institute of Information Technology, Surat, India

⁴Applied Science and Humanities, Indian Institute of Information Technology, Surat, India

^*Corresponding author. Email: ui22ec02@iiitsurat.ac.in

Corresponding Author

Adarsh Singh

Available Online 18 June 2026.

DOI: 10.2991/978-94-6239-707-1_27 How to use a DOI?
Keywords: Library Management System; Hybrid Recommendation System; Collaborative Filtering; Content-Based Filtering; Book Recommendation
Abstract: This paper presents BookMitra, an intelligent library management system integrated with a hybrid book recommendation framework designed for academic environments. The system combines contentbased filtering using Term Frequency–Inverse Document Frequency (TF–IDF) and cosine similarity with collaborative filtering based on matrix factorization to deliver personalized and context-aware book recommendations. The hybrid approach effectively addresses challenges such as data sparsity and cold-start scenarios while making updates with user evolving behaviour. Alongside recommendation intelligence, BookMitra also automates library operations such as catalog management, transactions, and role-based access control. Experimental evaluation demonstrates improved recommendation relevance highlighting the effectiveness of embedding hybrid recommender systems within modern digital library platforms.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Recent Advances in Intelligent and Sustainable Technologies (RAIST 2026)
Series: Atlantis Highlights in Intelligent Systems
Publication Date: 18 June 2026
ISBN: 978-94-6239-707-1
ISSN: 2589-4919
DOI: 10.2991/978-94-6239-707-1_27 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Aditi Rathore
AU  - Adarsh Singh
AU  - Tanmay Dubey
AU  - Nishad G. Deshpande
PY  - 2026
DA  - 2026/06/18
TI  - AI-Powered Library Management and Book Recommendation System
BT  - Proceedings of the International Conference on Recent Advances in Intelligent and Sustainable Technologies (RAIST 2026)
PB  - Atlantis Press
SP  - 309
EP  - 319
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-707-1_27
DO  - 10.2991/978-94-6239-707-1_27
ID  - Rathore2026
ER  -

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