On the web, where there exists a cyber-ocean of information, there is need to filter, prioritize and efficiently deliver relevant information. Here’s where the concept of Recommendation Engine steps in. Our proposed model has the ability to recommend products to the individual users on the basis of the earlier purchase history and shopping experience The approach employed, contains the use of Restricted Boltzmann machine (RBM), our proposed approach have shown significant improvements over another baseline methods.