Location and relevance

ABSTRACT

In traditional information retrieval, relevance is often judged by comparing the similarity of text in a query to the text of a document returned, reflecting a context-independent relevance relation. But mobile search calls for an expanded approach to assessing similarity and relevance---an approach that is highly attuned to the context-dependent factors that occur when people leave their desks and begin requesting information from different environments and perspectives.

REFERENCES

• 1: Andogah, G. and Bouma, G. 2007. "University of Groningen at GeoCLEF 2007". In Working Notes for the CLEF 2007 Workshop, Budapest, Hungary, 2007.
• 2: Andrade, L., and Silva, M. 2006. "Relevance ranking for geographic IR". In Proceedings of the 3rd Workshop on Geographical Information Retrieval, August 2006, SIGIR '06. ACM Press, New York, NY.
• 3: Asadi, S. Chang, C-Y., Zhou, X., and Diederich, J. 2005. "Searching the World Wide Web for local services and facilities: A review on the patterns of location-based queries". Lect. Notes. Comput. Sc. 3739, October 2005, 91--101.
• 4: Bucher, B., Clough, P., Joho, H., Purves, R., and Syed, A. K. 2005. "Geographic IR systems: Requirements and evaluation". In Proceedings of the 22^nd International Cartographic Conference, A Coruña, Spain, 2005. ICA-ACI 2005.
• 5: Guoray Cai, GeoVSM: An Integrated Retrieval Model for Geographic Information, Proceedings of the Second International Conference on Geographic Information Science, p.65-79, September 25-28, 2002
• 6: Qingqing Gan , Josh Attenberg , Alexander Markowetz , Torsten Suel, Analysis of geographic queries in a search engine log, Proceedings of the first international workshop on Location and the web, p.49-56, April 22-22, 2008, Beijing, China [doi>10.1145/1367798.1367806]
• 7: Marty Himmelstein, Local Search: The Internet Is the Yellow Pages, Computer, v.38 n.2, p.26-34, February 2005 [doi>10.1109/MC.2005.65]
• 8: Christopher B. Jones , Harith Alani , Douglas Tudhope, Geographical Information Retrieval with Ontologies of Place, Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science, p.322-335, September 19-23, 2001
• 9: Christopher B. Jones , Ross S. Purves, Geographical information retrieval, International Journal of Geographical Information Science, v.22 n.3, p.219-228, March 2008 [doi>10.1080/13658810701626343]
• 10: Larson, R. R., and Frontiera, P. 2004. "Spatial ranking methods for geographic information retrieval (GIR) in digital libraries". Lect. Notes. Comput. Sc. 3232, 45--56.
• 11: Levinson, S. C. 1983. Pragmatics. Cambridge University Press, New York, NY.
• 12: Christopher D. Manning , Prabhakar Raghavan , Hinrich Schtze, Introduction to Information Retrieval, Cambridge University Press, New York, NY, 2008
• 13: Bruno Martins , Mário J. Silva , Leonardo Andrade, Indexing and ranking in Geo-IR systems, Proceedings of the 2005 workshop on Geographic information retrieval, November 04-04, 2005, Bremen, Germany [doi>10.1145/1096985.1096993]
• 14: Erik Rauch , Michael Bukatin , Kenneth Baker, A confidence-based framework for disambiguating geographic terms, Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references, p.50-54, May 31, 2003 [doi>10.3115/1119394.1119402]
• 15: Bo Yu , Guoray Cai, A query-aware document ranking method for geographic information retrieval, Proceedings of the 4th ACM workshop on Geographical information retrieval, November 09-09, 2007, Lisbon, Portugal [doi>10.1145/1316948.1316962]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models; Relevance feedback

General Terms:
Algorithms, Experimentation, Human Factors, Measurement, Performance, Verification

Keywords:
georelevance, geosearch, information retrieval, local search, mobile search, relevance