Smartphone recommendation using popularity and collaborative filtering-based models
Aniket Kumar Paul, Trilok Nath Pandey, Aswathi Manoj Kumar, Savio Sajan Moloparambil, Surya Kartheek, Suraj Singh · 2023
With so many options available in the smartphone market, the question of which model is to be purchased, arises. The model proposed in our article will be trained with large datasets which can then suggest the perfect model with a given set of inputs without any hassle to search for hours on the internet in order to decide which phone is best suited to the customer in accordance with his/her needs. In this paper, it should be assumed that "Users" and "Reviewers" are used interchangeably in this paper as it is assumed that phone reviewers and users are the same. Therefore, our smartphone's recommendation system is designed to create a system that can suggest the best suited smartphones based on the choices or behaviors of the consumers.