Recommender System for E-Shopping Using Users' Tipping Point
E-commerce is one of the rapidly growing fields now-a-days. With today's trend, attraction of users towards online shopping is increased. In the field of online shopping, previously it was considered that users make the purchase decisions depending on their own choice. But the extensive studies have proved that the decision of user is affected by various parameters like products rating, its price and users' own priority. The recommender system works on these parameters and suggests relevant products to the user.