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.
