Cost Preference Product Service using Recommendation System
A. Siva Krishna Reddy, S.Ruchitha Reddy, Jadhav Sathish, Ade Ravikumar, Mohammad Rahil, Suddala Adithya · 2023
In today’s vast and diverse e-commerce landscape, consumers often face the challenge of navigating multiple platforms to find the best deals on specific products. The need to search through various websites and apps for a particular item from a preferred brand within a defined price range can be time-consuming and overwhelming. To streamline this process and enhance the shopping experience for users, the implementation of an efficient recommendation system is pivotal. The primary goal of this research work is to develop a robust recommendation system that offers personalized suggestions to users based on their preferences and financial constraints. This system aims to alleviate the hassle of sifting through multiple platforms by providing tailored recommendations, taking into account factors such as product categories, sub-categories, brand preferences, and price ranges.