A Deep Learning Approach of Collaborative Filtering to Recommender System with Opinion Mining

Abstract

To produce good quality recommendations for large or enterprise scale problems, a competent approach for recommender system is required. This paper presents such an approach which first generates the text score based on users’ reviews with the help of opinion mining. It then feeds ratings corresponding to the text scores to Convolutional Neural Network (CNN). CNN learns and does the dot product of user and product matrices. It is a special kind of feed forward neural network of deep learning technique to get better predictions in a product recommender system. The work done in this paper has improved accuracy and user satisfaction to great extent using CNN. It also helps e-commerce companies to increase the revenue by recommending closest products to users.