Trip is an important part of people's lives. We need to obtain interesting location information quickly and conveniently from the huge amount of information. The existing data source of geographic locations can be divided into two categories. The one is users' information that we can utilize to deeply understand their trajectories, the other one is the characteristics and attributes of geographic locations. In this paper, we focus on sentimental attributes of location and propose a POI (Point-Of-Interest) Mining method. Firstly, we use SPM (Sentiment-based POI Mining) algorithm to mine the POIs (Points-Of-Interest) with obvious sentimental attributes, and then recommend the POIs to users by using SPR (Sentiment-based POI Recommendation) algorithm. We conduct a series of experiments in Sina Weibo dataset. The results show the effectiveness of our method.
['Peiliang Lou', 'Guoshuai Zhao', 'Xueming Qian', 'Huan Wang', 'Xingsong Hou']
Schedule a Rich Sentimental Travel via Sentimental POI Mining and Recommendation