Exploring the Context of Locations for Personalized Location Recommendations

@inproceedings{Liu2016ExploringTC,
  title={Exploring the Context of Locations for Personalized Location Recommendations},
  author={Xin Liu and Yong Liu and Xiaoli Li},
  booktitle={IJCAI},
  year={2016}
}
Conventional location recommendation models rely on users’ visit history, geographical influence, temporal influence, etc., to infer users’ preferences for locations. However, systematically modeling a location’s context (i.e., the set of locations visited before or after this location) is relatively unexplored. In this paper, by leveraging the Skipgram model, we learn the latent representation for a location to capture the influence of its context. A pair-wise ranking loss that considers the… CONTINUE READING
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