Location based personalized restaurant recommendation system for mobile environments

Abstract

Restaurant recommendation system is a very popular service whose accuracy and sophistication keeps increasing every day. With the advent of smartphones, web 2.0 and internet services like 3G, this has become accessible by every consumer. In this paper, we present a personalized location based restaurant recommendation system integrated in mobile technology. It ubiquitously studies the user's behavioral pattern of visiting restaurant using a Machine Learning algorithm. We also address the issues faced by today's recommendation systems and propose methods to rectify it.