Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems

Xiaohui Tao, Nischal Sharma, Patrick J. Delaney, Aimin Hu

Abstract: This paper introduces a purposed Location-based Recommender System (LBRS) that combines sentiment analysis and topic modelling techniques to improve user profiling for enhancing recommendations of Points of Interest (POIs). Using additional feature extraction, we built user profiles from a Foursquare dataset to evaluate our model and provide recommendations...