The Machine Learning Approach for Recommendation System Based on Online Review

Abstract

For the past few years, various recommendation systems have been introduced that give recommendations and suggestions based on online user reviews. These recommenders provide valuable information from user-generated reviews through various processes. These systems use different techniques to extract the important information from the reviews that are valuable enough to give as suggestions to the users based on their interests. In this research, a portable recommender system has been developed based on the three Machine learning that recommend its user about different mobile phones available in the market and helps them select the best one based on the online user reviews.