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.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China under Grant No. 61402435,41371386,91224006, and the Knowledge Innovation Program of Chinese Academy of Sciences under Grant No. CNIC_QN_1507.
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Cui, W. et al. (2016). How to Use the Social Media Data in Assisting Restaurant Recommendation. In: Gao, H., Kim, J., Sakurai, Y. (eds) Database Systems for Advanced Applications. DASFAA 2016. Lecture Notes in Computer Science(), vol 9645. Springer, Cham. https://doi.org/10.1007/978-3-319-32055-7_12
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DOI: https://doi.org/10.1007/978-3-319-32055-7_12
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