Review Based Tool Recommendation System for Industrial E-Commerce






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Review Based Tool Recommendation System for Industrial E-Commerce

Pralhad Mule1, Swapnil Joshi2, Sagar Bhagwat3, ,Dr. Chaya Jadhav4

1 Department of Computer Engineering,Dr. D. Y. Patil Institute of Technology, Pimpri Pune 18

2Department of Computer Engineering,Dr. D. Y. Patil Institute of Technology, Pimpri Pune 18

3Department of Computer Engineering,Dr. D. Y. Patil Institute of Technology, Pimpri Pune 18

4 Associate Professor, Computer Engineering,Dr. D. Y. Patil Institute of Technology, Pimpri Pune 18

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Abstract - Nowadays, e-commerce websites are at boom in India by making billions of revenues per year by providing online platform to sell and buy products to the customers. For all categorical product the separate e-commerce websites are now coming in the market. Like for the clothes separate e-commerce websites like the messo, myntra are present. But there is huge demand for the industrial tools in the market and still there are only few e-commerce website present on the internet for the industrial tools.

So, purpose of this paper is to fill the gap of industrial products in the Indian market and makes available a best e-commerce store for the users to help them to get any industrial product at their doorstep. E-commerce provides one of the largest and unique platforms where users can buy or sell products. We are using a rating-based recommendation system to build user engagement on the site and increase sales of industrial equipment. So that the next time the user lands on the site, he will find the most rated industrial equipment according to his interest. The main feature of this project is the rating-based recommendation system used in this website.

used in this website.

Key Words: Recommendation System, E-commerce, frontend, Machine Learning

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