A Comparative Study on Online Book Recommendation System

The most influencing factors in recommending a suitable book can be the language it is written in or the author the book has been written by and majorly, the genre that book belong in. The research model presented in this work employs a few recommenders' system-based strategies to predict customers' behavioral patterns based on demographic data and previous behavioral patterns. After investigating many recommenders' system-based machine learning techniques, the model was created. On our dataset model-based collaborative gave a better result than the other techniques used with an accuracy of 83.3% and precision of 90.1 %. The major goal has been met with the recommended model's ability to outperform the existing works stated in the related work section.