Favorite Book Prediction System Using Machine Learning Algorithms


  • Dersin Daimari Central Institute of Technology Kokrajhar
  • Subhash Mondal Central Institute of Technology Kokrajhar
  • Bihung Brahma Central Institute of Technology Kokrajhar
  • Amitava Nag Central Institute of Technology Kokrajhar




Machine Learning, artificial intelligence (AI), Smart Library, Light Gradient Boosting Machine (LGBM), Boosting Model


Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to take intelligent decisions. AI breakthroughs could radically change modern libraries' operations. However, introducing AI in modern libraries is a challenging task. This research explores the potential for smart libraries to improve the caliber of user services through the use of machine learning (ML) techniques. The proposed work investigates machine learning methods such as Random Forest (RF) and boosting algorithms, including Light Gradient Boosting Machine (LGBM), Histogram-based gradient boosting (HGB), Extreme gradient boosting (XGB), CatBoost (CB), AdaBoost (AB), and Gradient Boosting (GB) for the task of identifying and classifying Favorite books and compares their performances. Comprehensive experiments performed on the publicly available dataset (Art Garfunkel's Library) show that the proposed model can effectively handle the task of identifying and classifying Favorite books. Experimental results show that LGBM has achieved outstanding performance with an accuracy rate of 94.9367% than Random Forest and other boosting ML algorithms. This empirical research work takes advantage of AI adoption in libraries using machine learning techniques. To the best of our knowledge, we are the first to develop an intelligent application for the modern library to automatically identify and classify Favorite books


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Author Biographies

Dersin Daimari, Central Institute of Technology Kokrajhar



Subhash Mondal, Central Institute of Technology Kokrajhar



Bihung Brahma, Central Institute of Technology Kokrajhar



Amitava Nag, Central Institute of Technology Kokrajhar




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How to Cite

Daimari, D., Mondal, S., Brahma, B., & Nag, A. (2023). Favorite Book Prediction System Using Machine Learning Algorithms. Journal of Applied Engineering and Technological Science (JAETS), 4(2), 983–991. https://doi.org/10.37385/jaets.v4i2.1925