A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs

@article{He2016AST,
  title={A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs},
  author={Tieke He and Hongzhi Yin and Zhenyu Chen and Xiaofang Zhou and Shazia Wasim Sadiq and Bin Luo},
  journal={ACM TIST},
  year={2016},
  volume={8},
  pages={12:1-12:24}
}
Semantic tags of points of interest (POIs) are a crucial prerequisite for location search, recommendation services, and data cleaning. However, most POIs in location-based social networks (LBSNs) are either tag-missing or tag-incomplete. This article aims to develop semantic annotation techniques to automatically infer tags for POIs. We first analyze two LBSN datasets and observe that there are two types of tags, category-related ones and sentimental ones, which have unique characteristics… CONTINUE READING

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