Skip to main content

Gander: Personalizing Search of the Here and Now

  • Conference paper

Abstract

In Personalized Networked Spaces (PNets), people and devices are integrated with the environment and demand fluid interactions to enable connectivity to information, services, and people. PNet applications exhibit significant spatiotemporal demands in which connectivity to resources and information is personalized and focused on the here and now. We introduce Gander, a personalized search engine for the here and now. We examine how search expectations are affected when users and applications interact directly with the physical environment. We define a formal conceptual model of search in PNets that provides a clear definition of the framework and ultimately enables reasoning about relationships between search processing and the relevance of results. We assess our model by evaluating sophisticated Gander queries in a simulated PNet.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ahlers, D., Boll, S.: Beyond position–spatial context for mobile information retrieval systems. In: Proc. of WPNC, pp. 129–134 (2009)

    Google Scholar 

  2. Assa, J., Cohen-Or, D., Milo, T.: Displaying data in multidimensional relevance space with 2d visualization maps. In: Proc. of Visualization, pp. 127–134 (1997)

    Google Scholar 

  3. Atzori, L., Iera, A., Morabito, G.: The internet of things: A survey. Computer Networks 54(15), 2787–2805 (2010)

    Article  MATH  Google Scholar 

  4. Bansal, M., Fernandez-Baca, D.: Computing distances between partial rnakings. Information Processing Letters 109(4), 238–241 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  5. Beard, K., Sharma, V.: Multidimensional ranking for data in digital spatial libraries. Int’l. J. on Digital Libraries, 153–160 (1997)

    Google Scholar 

  6. Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., Riboni, D.: A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing 6(2), 161–180 (2010)

    Article  Google Scholar 

  7. Bolliger, P., Ostermaier, B.: Koubachi: A mobile phone widget to enable affective communication with indoor plants. In: Proc. of MIRW, pp. 63–66 (2007)

    Google Scholar 

  8. Chen, A.: Context-Aware Collaborative Filtering System: Predicting the User’s Preference in the Ubiquitous Computing Environment. In: Strang, T., Linnhoff-Popien, C. (eds.) LoCA 2005. LNCS, vol. 3479, pp. 244–253. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  9. de Almeida, V., Guting, R., Behr, T.: Querying moving objects in secondo. In: Proc. of MDM, p. 47 (May 2006)

    Google Scholar 

  10. Djafri, N., Fernandes, A.A., Paton, N.W., Griffiths, T.: Spatio-temporal evolution: querying patterns of change in databases. In: Proc. of ACMGIS, pp. 35–41 (2002)

    Google Scholar 

  11. Egenhofer, M., Franzosa, R.: Point-set topological relations. Int’l. J. of Geographical Info. Sys. 5(2), 161–174 (1991)

    Google Scholar 

  12. Elahi, B.M., Römer, K., Ostermaier, B., Fahrmair, M., Kellerer, W.: Sensor ranking: A primitive for efficient content-based sensor search. In: Proc. of IPSN, pp. 217–228 (2009)

    Google Scholar 

  13. Erwig, M., Schneider, M.: Developments in spatio-temporal query languages. In: Proc. of DEXA, pp. 441–449 (1999)

    Google Scholar 

  14. Erwig, M., Schneider, M.: Spatio-temporal predicates. IEEE Trans. on Knowledge and Data Eng. 14, 881–901 (2002)

    Article  Google Scholar 

  15. Güting, R.H., Böhlen, M.H., Erwig, M., Jensen, C.S., Lorentzos, N., Nardelli, E., Schneider, M., Viqueira, J.R.R.: Chapter 4: Spatio-temporal Models and Languages: An Approach Based on Data Types. In: Sellis, T.K., Koubarakis, M., Frank, A., Grumbach, S., Güting, R.H., Jensen, C., Lorentzos, N.A., Manolopoulos, Y., Nardelli, E., Pernici, B., Theodoulidis, B., Tryfona, N., Schek, H.-J., Scholl, M.O. (eds.) Spatio-Temporal Databases. LNCS, vol. 2520, pp. 117–176. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  16. Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. on Info. Sys. 20, 422–446 (2002)

    Article  Google Scholar 

  17. Jones, Q., Grandhi, S., Karam, S., Whittaker, S., Zhou, C., Terveen, L.: Geographic place and community information preferences. CSCW 17(2-3), 137–167 (2008)

    Google Scholar 

  18. Kortuem, G., Kawsar, F., Fitton, D., Sundramoorthy, V.: Smart objects as building blocks for the internet of things. IEEE Internet Computing 14(1), 44–51 (2010)

    Article  Google Scholar 

  19. Kreveld, M., Reinbacher, I., Arampatzis, A., Zwol, R.: Multi-dimensional scattered ranking methods for geographic information retrieval. GeoInform 9, 61–84 (2005)

    Article  Google Scholar 

  20. Lamming, M., Newman, W.: Activity-based information retrieval: Technology in support of personal memory. In: Proc. of IFIP World Computer Congress on Personal Computers and Intelligent Systems – Information Processing (1992)

    Google Scholar 

  21. Disney World Lines App (Touring Plans), http://www.touringplans.com/walt-disney-world-lines

  22. Manning, C.D., Raghavan, P., Schutze, H.: Intro. to Information Retrieval (2009)

    Google Scholar 

  23. Mountain, D., MacFarlane, A.: Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals. J. of Info. Science 33, 515–530 (2007)

    Article  Google Scholar 

  24. Ostermaier, B., Römer, K., Mattern, F., Fahrmair, M., Kellerer, W.: A real-time search engine for the web of things. In: Proc. of IOT, pp. 1–8 (2010)

    Google Scholar 

  25. Rajamani, V., Julien, C., Payton, J., Roman, G.-C.: Inquiry and Introspection for Non-deterministic Queries in Mobile Networks. In: Chechik, M., Wirsing, M. (eds.) FASE 2009. LNCS, vol. 5503, pp. 401–416. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  26. Reichenbacher, T.: Geographic relevance in mobile services. In: Proc. of LocWeb (2009)

    Google Scholar 

  27. Si, H., Kawahara, Y., Kurasawa, H., Morikawa, H., Aoyama, T.: A context-aware collaborative filtering algorithm for real world oriented content delivery service. In: Proc. of Metapolis and Urban Life Workshop (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Michel, J., Julien, C., Payton, J., Roman, GC. (2012). Gander: Personalizing Search of the Here and Now. In: Puiatti, A., Gu, T. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30973-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30973-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30972-4

  • Online ISBN: 978-3-642-30973-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics