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VOL. 10, ISSUE 3 (2025)
The role of AI in smart libraries for automated book recommendations and management
Authors
Mahendra Vishwanath Thakare, Mahesh Raghunath Salve
Abstract
Artificial Intelligence (AI) is transforming
smart libraries by enabling automated book recommendations and efficient
management systems, enhancing user experience and operational effectiveness.
AI-driven recommendation systems utilize machine learning algorithms to analyze
user preferences, reading history, and behavior patterns, delivering
personalized book suggestions that improve engagement and accessibility to
relevant resources. Natural Language Processing (NLP) further refines these
recommendations by understanding contextual queries, enabling more accurate
search results. In addition to enhancing user interactions, AI optimizes
library management through automated cataloging, real-time inventory tracking,
and predictive analytics for book acquisitions based on demand patterns.
AI-powered chatbots and virtual assistants provide instant responses to user
inquiries, streamlining information retrieval and reducing the workload on
library staff. Computer vision and RFID technology enhance security by
monitoring book checkins and checkouts, minimizing losses and unauthorized
access. Moreover, AI-driven analytics offer valuable insights into library
usage trends, assisting administrators in making data-driven decisions to
improve resource allocation and optimize space utilization. Despite challenges
such as data privacy concerns and implementation costs, the integration of AI
in smart libraries significantly enhances efficiency, accessibility, and user
satisfaction, positioning libraries as intelligent, adaptive, and future-ready
knowledge hubs in the digital age.
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Pages:87-90
How to cite this article:
Mahendra Vishwanath Thakare, Mahesh Raghunath Salve "The role of AI in smart libraries for automated book recommendations and management". International Journal of Advanced Scientific Research, Vol 10, Issue 3, 2025, Pages 87-90
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