Development of Location-Aware Place Recommendation System on Android Smart Phones

This project aims to develop a location-aware place recommender system on Android smart phones. Our recommender system consists of two major components: 1) place recommendation and 2) Android mobile application component. A user-based collaborative filtering scheme is applied to predict the nearest places for the android user based on his/her GPS position from a mobile device. To make the personalization, we propose a social-driven recommendation algorithm that incorporates real-world check-in spots from Foursquare, a location-based social network service. We also implement an android application to use the recommender system via a mobile device. Offline experimental results demonstrated that our recommender system can achieve satisfying precision and recall of recommended places.