Recommendation systems are widely utilized in different applications for predicting the preference or rating of a user in a product or service. Most likely you have come across or interacted with some type of recommender systems in the past few minutes or hours in your online presence. Even this article might have been suggested to you using Recommender systems. These Recommender systems can be of different types and the most prominent ones include Content-based filtering and Collaborative filtering. In this article, we will study location-based recommendations, where we specifically focus on geographic locations to render more relevant recommendations utilizing the location of the users.

This tutorial will guide you on how to create location based recommendations with Machine learning. The tutorial uses Yelp Dataset from Kaggle.