Finding wormholes with flickr geotags

  • Authors:
  • Maarten Clements;Pavel Serdyukov;Arjen P. de Vries;Marcel J. T. Reinders

  • Affiliations:
  • Delft University of Technology, Delft, The Netherlands;Delft University of Technology, Delft, The Netherlands;Delft University of Technology, Delft, The Netherlands;Delft University of Technology, Delft, The Netherlands

  • Venue:
  • ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
  • Year:
  • 2010

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Abstract

We propose a kernel convolution method to predict similar locations (wormholes) based on human travel behaviour. A scaling parameter can be used to define a set of relevant users to the target location and we show how the geotags of these users can effectively be aggregated to predict a ranking of similar locations. We evaluate results on world and city level using several independent test collections.