Detecting Places of Interest Using Social Media

  • Authors:
  • Steven Van Canneyt;Steven Schockaert;Olivier Van Laere;Bart Dhoedt

  • Affiliations:
  • -;-;-;-

  • Venue:
  • WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Place recommender systems are increasingly being used to find places of a given type that are close to a user-specified location. As it is important for these systems to use an up-to-date database with a wide coverage, there is a need for techniques that are capable of expanding place databases in an automated way. On the other hand, social media are a rich source of geographically distributed information. In this paper, we therefore propose an approach to discover new instances of a given place type by exploiting correlations between terms and locations in geotagged social media. For a variety of place types, our approach is able to find places which are not yet included in popular place databases such as Foursquare or Google Places.