AI-Based Product Recommendation System for E-commerce Sellers

Abstract

This research project is focused on developing an AI-Based Product Recommendation System for E-commerce Sellers. The primary objective is to enhance the online shopping experience by providing personalized product recommendations to sellers. The conventional approaches to product recommendations often face challenges related to accuracy and scalability, necessitating the exploration of advanced techniques. The proposed system aims to utilize a Neural Collaborative Filtering (NCF) model, to generate precise and personalized recommendations. The research incorporates findings from literature reviews, observations, and potential prototyping considerations to shape the development of the AI-Based Product Recommendation System for E-commerce Sellers. This project will explore datasets from Amazon platforms to train and optimize the recommendation algorithms. The e-commerce domain encounters complexities in understanding user preferences and providing accurate recommendations. By utilizing artificial intelligence and machine learning models, this project aims to create a reiii liable recommendation system that not only enhances the user experience but also contributes to the growth of e-commerce businesses by increasing customer satisfaction and driving sales.