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AI and Machine Learning Applications in Libraries: A Systematic Review

By PulseAugur Editorial · [1 sources] ·

A systematic review of empirical studies has synthesized research on the application of artificial intelligence (AI) and machine learning (ML) in libraries. The review, which analyzed thirty-two selected articles, found that current research in the LIS domain primarily focuses on theoretical aspects, with some implementation projects and case studies also noted. This work aims to offer a broad overview of AI and ML in libraries to guide researchers, practitioners, and educators in developing technology-oriented approaches and anticipating future innovations. AI

IMPACT Provides a foundational overview of AI and ML applications within library science, guiding future research and practical implementation.

RANK_REASON This is a systematic review paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI and Machine Learning Applications in Libraries: A Systematic Review

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This is a systematic review paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Rajesh Kumar Das, Mohammad Sharif Ul Islam ·

    Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Review

    arXiv:2112.04573v2 Announce Type: replace-cross Abstract: As the concept and implementation of cutting-edge technologies like artificial intelligence and machine learning has become relevant, academics, researchers and information professionals involve research in this area. The …

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