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.
Additional Metadata
THEME Information (theme 2), Information (theme 2)
Publisher Springer
Series Lecture Notes in Computer Science
Conference European Conference on Information Retrieval
Citation
de Vries, A.P, Clements, M, Serdyukov, P, & Reinders, M.J.T. (2010). Finding Wormholes with Flickr Geotags. In Advances in Information Retrieval (pp. 658–661). Springer.