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.
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Springer
Lecture Notes in Computer Science
European Conference on Information Retrieval
Human-Centered Data Analytics

de Vries, A., Clements, M., Serdyukov, P., & Reinders, M. J. T. (2010). Finding Wormholes with Flickr Geotags. In Advances in Information Retrieval (pp. 658–661). Springer.