LibX — An automated bibliotheca

Classification in machine learning and recommendation models has been replicated by many studies through different algorithms. The paper discusses why naïve Bayesian is one of the most preferred algorithms of implementation in machine learning. It also discusses its application for library recommendation system. The paper talks about algorithmic model and proposed system in detail. Hybrid recommendation systems are discussed with other approaches like collaborative and content based filtering. The paper also provides comparative advantages and details of Naïve Bayes algorithm. The paper also provides comparative advantages and details of Naïve Bayes algorithm.