How to Use the Social Media Data in Assisting Restaurant Recommendation

Wenjuan Cui, Pengfei Wang, Xin Chen, Yi Du, Danhuai Guo, Yuanchun Zhou, Jianhui Li

Abstract: Online social network applications such as Twitter, Weibo, have played an important role in people’s life. There exists tremendous information in the tweets. However, how to mine the tweets and get valuable information is a difficult problem. In this paper, we design the whole process for extracting data from Weibo and develop an algorithm for the foodborne disease events detection. The detected foodborne disease information are then utilized to assist the restaurant recommendation. The experiment results show the effectiveness and efficiency of our method.