admin | 28 December 2020
The recommender system has become mandatory in recent years for any website that lists multiple products and contents. It basically recommends or suggests new content or products based on user interaction and past activity on that website. We built a recommender system for an e-commerce website based on product information and user interaction data provided by the customer. We used both the content similarity approach as well as user similarity approach in solving this problem.