no code implementations • 20 Jun 2017 • Wang Hao, Fu Yanmei, Wang Qinyong, Yin Hongzhi, Du Changying, Xiong Hui
In this paper, we propose a latent probabilistic generative model called LSARS to mimic the decision-making process of users' check-in activities both in home-town and out-of-town scenarios by adapting to user interest drift and crowd sentiments, which can learn location-aware and sentiment-aware individual interests from the contents of spatial items and user reviews.