Personalized Travel Package With Multi-Point-of-Interest Recommendation Based on Crowdsourced User Footprints

@article{Yu2016PersonalizedTP,
  title={Personalized Travel Package With Multi-Point-of-Interest Recommendation Based on Crowdsourced User Footprints},
  author={Zhiwen Yu and Huang Xu and Zhe Yang and Bin Guo},
  journal={IEEE Transactions on Human-Machine Systems},
  year={2016},
  volume={46},
  pages={151-158}
}
Location-based social networks (LBSNs) provide people with an interface to share their locations and write reviews about interesting places of attraction. The shared locations form the crowdsourced digital footprints, in which each user has many connections to many locations, indicating user preference to locations. In this paper, we propose an approach for personalized travel package recommendation to help users make travel plans. The approach utilizes data collected from LBSNs to model users… CONTINUE READING
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