Based on location-based social network (LBSN)

Title/Direction:

Based on location-based social network (LBSN), build a model for recommender system. There are two directions. Choose an easier direction to do analysis. One is point-of-interest (POI) prediction and the other is trajectory detection. In this case, title can be:

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  1. POI prediction for location-based social media with introducing characteristics of users
  2. Trajectory detection for location-based social media with introducing characteristics of users.

The difference between the state-of-art research is to introduce new feature, which is the characteristics of users. The characteristics of users can be derivate from the table userInfo.

Dataset:

Will be sent by email.

Guidelines:

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 Some start-up papers:

Geo-spatial data modeling

https://kaiqizhao.github.io/icde18-camera-ready.pdf

https://kaiqizhao.github.io/kdd18-region.pdf

Trip purpose detection

https://dl.acm.org/citation.cfm?id=3098067

https://ieeexplore.ieee.org/abstract/document/8258062/

https://ieeexplore.ieee.org/document/8242693/versions

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.716.1491&rep=rep1&type=pdf

https://dl.acm.org/citation.cfm?id=3078849

 

Transfer learning on spatial data

https://arxiv.org/pdf/1802.00386.pdf

https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/Transfer_Knowledge_between_cities_Zheng.pdf

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