ORec: An Opinion-Based Point-of-Interest Recommendation Framework

  title={ORec: An Opinion-Based Point-of-Interest Recommendation Framework},
  author={Jia-Dong Zhang and Chi-Yin Chow and Yu Zheng},
As location-based social networks (LBSNs) rapidly grow, it is a timely topic to study how to recommend users with interesting locations, known as points-of-interest (POIs). Most existing POI recommendation techniques only employ the check-in data of users in LBSNs to learn their preferences on POIs by assuming a user's check-in frequency to a POI explicitly reflects the level of her preference on the POI. However, in reality users usually visit POIs only once, so the users' check-ins may not be… CONTINUE READING
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