Apache Mahout based Book Recommendation System

E-Commerce websites plays an important role in individual’s life as it serves the medium for online shopping with a huge audience. With commencement of pandemic due to novel coronavirus, involvement has drastically increased or more precisely remains only shop. increasing demand on websites, Recommendation System also become vital accomplishes goal make Personalized users. In this paper, we set out Apache Mahout-based Book help recommend books have described our project that recommends users basis user’s prior experience purchase. The platform utilizing recommendation system is developed using Spring Framework part project. dataset used process taken from Kaggle. Dataset ratings various given by As User-based Collaborative Filtering technique, Euclidean Distance Similarity similarity measure along Nearest N User Neighborhood and Generic User-Based Recommender give quality results compared existing system. To get best obtained evaluation score 0.5