AI-Driven Innovation in Information Retrieval: Transforming Library Operations and User Engagement

Naikar, Satishkumar and Indraji, C AI-Driven Innovation in Information Retrieval: Transforming Library Operations and User Engagement., 2025 . In International Conference on Global Perspectives on Open Science: Bridging Research, Access and Innovations, Mumbai, 16-05-2025. [Conference paper]

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English abstract

This study explores the transformative potential of specific AI technologies, such as natural language processing, machine learning, and knowledge graphs, in redefining library operations and enhancing user engagement. An AI-based IR prototype integrating these technologies was developed and deployed in an academic library over three months. The system significantly improved search precision, recall, and user interaction metrics while streamlining library staff operations. User feedback highlighted increased satisfaction, ease of use, and trust in AI-assisted recommendations. These findings demonstrate the capability of these specific AI technologies to bridge the gap between traditional library models and future-ready, user-centric knowledge environments.

Item type: Conference paper
Keywords: Artificial Intelligence, Information Retrieval, Natural Language Processing, Machine Learning, Semantic Search, User Engagement, Personalized Recommendations, AI Ethics, Smart Libraries
Subjects: I. Information treatment for information services > IF. Information transfer: protocols, formats, techniques.
Depositing user: Satishkumar Naikar
Date deposited: 29 May 2025 07:47
Last modified: 29 May 2025 07:47
URI: http://hdl.handle.net/10760/46811

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