Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-12275-0_70 | ECIR |
Keywords | DocType | Volume |
relevant user,flickr geotags,independent test collection,target location,human travel behaviour,similar location,scaling parameter,kernel convolution method,city level | Conference | 5993 |
ISSN | ISBN | Citations |
0302-9743 | 3-642-12274-4 | 8 |
PageRank | References | Authors |
0.85 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maarten Clements | 1 | 126 | 6.86 |
| Pavel Serdyukov | 2 | 1341 | 90.10 |
| Arjen P. de Vries | 3 | 1364 | 84.36 |
| Marcel J. T. Reinders | 4 | 1556 | 104.09 |