RECOMMENDATION SYSTEM IN LIBRARIES: A SYSTEMATIC LITERATURE REVIEW USING PRISMA BASED ON SCOPUS DATABASE
DOI:
https://doi.org/10.34256/Keywords:
Library recommendation systems, Personalized information retrieval, Digital library servicesAbstract
The study highlights the development and multidisciplinary reach of the topic by offering a thorough content analysis of research articles on recommendation systems for libraries. The study finds patterns, challenges, and potential avenues for future research by methodically examining peer-reviewed publications that are listed in the Scopus database. The results of this study indicate that the number of articles published in the fields of computer science, engineering, and mathematics has increased significantly due to technological developments. The most critical research areas identified by this study are managing sparse data, increasing scalability, resolving privacy concerns, and increasing the diversity of algorithms. It was found that recommendation systems can be further improved through the use of combining hybrid methods, their application of advanced ML algorithms and techniques, and cross-domain applications. Although this research is limited to a single language publishing, English and only includes data from Scopus, it has been able to identify emerging trends related to the development of future recommendation systems for library services and provide directions for researchers and professionals interested in developing novel, user-centered recommendation systems for libraries.
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