PRODUCT RECOMMENDATION USING EMERGING TECHNOLOGIES
S Madhavi, Palthuru Hirematam Aishwarya, Neha Math, Gergi Neerajana Sai Niveditha · 2021
Ecommerce websites have fully changed traditional shopping patterns from offline to online. Furthermore, the uptrend in purchasing has helped them keep track of their customers/clients, their choices, and their interests. With the help of customized recommender software, they were able to suggest some products which the customer might be interested in. The recommender systems aim to propose the right products to the customers. Currently, there are few recommender systems in markets which are focusing on customer reviews, ratings, and purchases and then suggest appropriate items and their accessories to customers. Few recommender systems also focus on the frequency of the products viewed and their demographic data. This paper studies the comparison among various existing recommender systems and suggests a more appropriate way of building a recommender system.