SRC: Incorporating Geographic Information for Building a Location-based Recommendation System

Abstract

This study proposes a novel approach for location recommendation based on content-based recommendation algorithms incorporated with geographic information. The study also analyzes the impact of various dimension reduction (DR) methods on the recommendation quality using various baseline approaches. The experiment demonstrates that the proposed approach to content-based location recommendations is feasible and valuable, with potentials for further research.