Abstract:
The Location-Based Social Network (LBSN) is one type of social web platform that
allows users to register when they visit certain Points of Interest (POIs). The practice
of recommending points of interest (POI) has become an important component of
location-based social networks. However, due to the unique limits such as privacy
concerns, accuracy, and reliability, and lack of comprehensive POI coverage of these
networks, it remains a difficult challenge. In this thesis, data mining methods (i.e.,
model-based approach) are applied to handle the problem of the POI recommendation
system. The approach is based on a particular method of analyzing geographic data.