A Product Recommendation System for e-Shopping
Muhammad Yasir Imam, Zain-Ul-Abideen Usmani, Arsalan Khan, Osama Usmani · 2021
With the increase in number of ecommerce websites, it is difficult for a user to find a reasonable product he/she wants. In addition, users have no way to find the best product for him rather than searching product on different website and looking for the best product suitable to him. Product recommendation system is a web-based system that solves the problem of users by helping them to decide which product suits them according to the features and price they require. Our system is independent of the structure of websites as it uses set of rules and matches the regular expressions of the specifications with the text of the website. This system is visualizing results graphically for the ease of user decision. This product recommendation system provides results realistically.