Objectives and State-of-the-Art of Location-Based Social Network Recommender Systems

@article{Ding2018ObjectivesAS,
  title={Objectives and State-of-the-Art of Location-Based Social Network Recommender Systems},
  author={Zhijun Ding and Xiaolun Li and Changjun Jiang and Mengchu Zhou},
  journal={ACM Comput. Surv.},
  year={2018},
  volume={51},
  pages={18:1-18:28}
}
Because of the widespread adoption of GPS-enabled devices, such as smartphones and GPS navigation devices, more and more location information is being collected and available. Compared with traditional ones (e.g., Amazon, Taobao, and Dangdang), recommender systems built on location-based social networks (LBSNs) have received much attention. The former mine users’ preferences through the relationship between users and items, e.g., online commodity, movies and music. The latter add location… CONTINUE READING
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