Location-based and preference-aware recommendation using sparse geo-social networking data

The popularity of location-based social networks provide us with a new platform to understand users' preferences based on their location histories. In this paper, we present a location-based and preference-aware recommender system that offers a particular user a set of venues (such as restaurants) within a geospatial range with the consideration of both: 1) User preferences, which are automatically learned from her location history and 2) Social opinions, which are mined from the location histories of the local experts. This recommender system can facilitate people's travel not only near their living areas but also to a city that is new to them. As a user can only visit a limited number of locations, the…

• DO
  Division of Computer and Network Systems

  Award: IIS-0811998IIS-0811935CNS-0708604IIS-0952977
• DO
  Division of Information and Intelligent Systems

  Award: IIS-0811998IIS-0811935CNS-0708604IIS-0952977