Skip to main content
SpringerLink
Log in

Finding Wormholes with Flickr Geotags

  • Conference paper
Book cover Advances in Information Retrieval (ECIR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5993))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Rattenbury, T., Good, N., Naaman, M.: Towards automatic extraction of event and place semantics from flickr tags. In: SIRIR 2007: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 103–110. ACM, New York (2007)

    Chapter  Google Scholar 

  2. Ahern, S., Naaman, M., Nair, R., Yang, J.H.: World explorer: visualizing aggregate data from unstructured text in geo-referenced collections. In: JCDL 2007: Proceedings of the 2007 conference on Digital libraries, pp. 1–10. ACM, New York (2007)

    Chapter  Google Scholar 

  3. Kennedy, L., Naaman, M., Ahern, S., Nair, R., Rattenbury, T.: How flickr helps us make sense of the world: context and content in community-contributed media collections. In: MULTIMEDIA 2007: Proceedings of the 15th international conference on Multimedia, pp. 631–640. ACM, New York (2007)

    Chapter  Google Scholar 

  4. Crandall, D., Backstrom, L., Huttenlocher, D., Kleinberg, J.: Mapping the world’s photos. In: WWW 2009: Proceeding of the 18th international conference on World Wide Web, pp. 761–770 (2009)

    Google Scholar 

  5. Serdyukov, P., Murdock, V., van Zwol, R.: Placing flickr photos on a map. In: SIGIR 2009: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pp. 484–491. ACM, New York (2009)

    Chapter  Google Scholar 

  6. Kalogerakis, E., Vesselova, O., Hays, J., Efros, A.A., Hertzmann, A.: Image sequence geolocation with human travel priors. In: ICCV 2009: Proceedings of the IEEE International Conference on Computer Vision (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Maarten Clements, Pavel Serdyukov, Arjen P. de Vries & Marcel J. T. Reinders

  2. CWI, Amsterdam, The Netherlands

    Arjen P. de Vries

Authors
  1. Maarten Clements
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pavel Serdyukov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Arjen P. de Vries
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marcel J. T. Reinders
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Adaptive Information Cluster, Dublin City University, Dublin, 9, Ireland

    Cathal Gurrin

  2. The Open University, Walton Hall, MK7 6HF, Milton Keynes, UK

    Yulan He

  3. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, UK

    Gabriella Kazai

  4. Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Udo Kruschwitz

  5. The Open University, Walton Hall, Milton Keynes, UK

    Suzanne Little

  6. University of London, London, UK

    Thomas Roelleke

  7. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  8. Department of Computing Science, University of Glasgow, 17 Lilybank Gardens, G12 8QQ, Glasgow, UK

    Keith van Rijsbergen

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Clements, M., Serdyukov, P., de Vries, A.P., Reinders, M.J.T. (2010). Finding Wormholes with Flickr Geotags. In: Gurrin, C., et al. Advances in Information Retrieval. ECIR 2010. Lecture Notes in Computer Science, vol 5993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12275-0_70

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-12275-0_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12274-3

  • Online ISBN: 978-3-642-12275-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation