Predictive analytics and artificial intelligence are revolutionizing the user experience in public libraries.
Siddhi Bhavsar
, Dr. Janardhana Rao A N
Automated Cataloging, Artificial Intelligence (AI), Predictive Analytics, Public Libraries
Abstract: Public libraries have historically served as essential institutions in communities, providing individuals with the opportunity to access a wide range of knowledge and resources. Nevertheless, in the current era of rapid digital advancements, libraries encounter the obstacle of adjusting to shifting customer requirements and preferences. This research study investigates the capacity of predictive analytics and artificial intelligence (AI) to transform the user experience in public libraries. Libraries may enhance their services by utilizing data-driven insights and intelligent technologies. This enables them to provide personalized suggestions, manage the allocation of resources, and create more engaging and inclusive environments. The paper will explore particular implementations of predictive analytics and artificial intelligence, including forecasting the popularity of books, suggesting pertinent resources, and improving library services through the use of chatbots and virtual assistants. Furthermore, it will address the ethical ramifications and difficulties linked to the implementation of these technologies in public libraries. The primary objective of this research is to showcase the potential of predictive analytics and artificial intelligence in enabling libraries to enhance their services and maintain their significance in the era of digital advancements.
"Predictive analytics and artificial intelligence are revolutionizing the user experience in public libraries.", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 10, page no.140 - 150, October-2024, Available :https://ijsdr.org/papers/IJSDR2410017.pdf
Volume 9
Issue 10,
October-2024
Pages : 140 - 150
Paper Reg. ID: IJSDR_212547
Published Paper Id: IJSDR2410017
Downloads: 000347372
Research Area: Social Science and Humanities
Country: Mumbai, Maharashtra, India
DOI: https://doi.org/10.5281/zenodo.13998088
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave