An Introduction to Various Parameters of the Point of Interest

Point-of-Interest (POI) recommendation helps to find new places for users to visit, along with the popularity of locations. Recommendation of POI is the most important in location-based social networks (LBSNs). This paper discusses different parameters that significantly impact the POI recommendation process and make the prediction much more accurate. A comprehensive review of a few research works and the methodologies employed for POI recommendation have been presented. POI recommendation techniques have been classified based on many, such as the interest of the tourist in particular POI, popularity of the POI, weather conditions, etc. A summary of related research work is presented for each category, along with their respective drawbacks. Finally, the possible directions toward future work in this area are included, along with the conclusion.