Product Recommendation System Using Natural Language Processing

Nowadays, since there is an increase in online shopping, it became difficult for customers to choose the right product of their choice. Therefore, to reduce this hassle we had come up with product recommendation systems. Our recommendation system collects the past data of the user and suggests new products based on the analysis, therefore increasing the sales. Many e-commerce websites like Flipkart, Myntra, and Amazon also use a product recommendation system to attract customers. Not only e-commerce websites but also many OTT platforms use these systems to recommend shows relevant to the user. To recommend the items, feature points are used to make NLP model. The main aim is to make a good and high accurate recommendation system for e-commerce customers using ML algorithms. Here, we used multiple step recommendation which bases on feedback. In this model, we used Natural Language Processing that suggests the items that have the high rating.