Getting Location Recommender Systems

Recommendation systems are primarily used to predict the preference or rating of a user for an item. They are widely used in many commercial applications, including product and service recommendations, as well as content and friendship recommendations in social media. However, recommendation systems are not only used for products on Amazon or movies on Netflix but also locations. Location-based recommenders incorporate the location of users to provide relevant and precise recommendations. These can be a point of interest recommendations, such as restaurants, events in nearby locations, or posts and local trends in social media. In this chapter, we will cover different recommender systems, including collaborative filtering methods and location-based recommendation methods. We will take an example of a restaurant recommender system application...