Exploiting geographical influence for collaborative point-of-interest recommendation

  title={Exploiting geographical influence for collaborative point-of-interest recommendation},
  author={Mao Ye and Peifeng Yin and Wang-Chien Lee and Dik Lun Lee},
In this paper, we aim to provide a point-of-interests (POI) recommendation service for the rapid growing location-based social networks (LBSNs), e.g., Foursquare, Whrrl, etc. Our idea is to explore user preference, social influence and geographical influence for POI recommendations. In addition to deriving user preference based on user-based collaborative filtering and exploring social influence from friends, we put a special emphasis on geographical influence due to the spatial clustering… CONTINUE READING
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