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Incorporating place name extents into geo-ir ranking

Published: 26 October 2008 Publication History

Abstract

This paper proposes a novel Geo-IR ranking method that realizes effective searches that emphasize the user's immediate surroundings. It assesses the extent implied by place names in documents and then emphasizes place names that are highly specific in terms of identifying locations.

References

[1]
L. Andrade and M. J. Silva. Relevance ranking for geographic ir. In Proc. of GIR '06, 2006.
[2]
P. Clough. Extracting metadata for spatially-aware information retrieval on the internet. In Proc. of GIR '05, pages 25--30, 2005.
[3]
F. Gey, R. Larson, M. Sanderson, K. Bischoff, T. Mandl, C. Womser-Hacker, D. Santos, and P. Rocha. GeoCLEF 2006: the CLEF 2006 Cross-Language Geographic Information Retrieval Track Overview In Working Notes of CLEF '06, 2006.
[4]
T. Hirano, Y. Matsuo, and G. Kikui. Location disambiguation using geographic distance and popularity (in Japanese). In Proc. of National convention of IPSJ, 2008.
[5]
A. Markowetz, Y.-Y. Chen, T. Suel, X. Long, and B. Seeger. Design and implementation of a geographic search engine. In Proc. of WebDB '05, pages 19--24, 2005.

Cited By

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  • (2010)What aspects do people search in geo-referenced text?Proceedings of the 3rd International Workshop on Location and the Web10.1145/1899662.1899666(1-4)Online publication date: 29-Nov-2010
  • (2009)Snippet Generation for Geographic Information RetrievalTransactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.24.49424(494-506)Online publication date: 2009

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cover image ACM Conferences
CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management
October 2008
1562 pages
ISBN:9781595939913
DOI:10.1145/1458082
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2008

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Author Tags

  1. geographic information retrieval
  2. mobile devices

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CIKM08
CIKM08: Conference on Information and Knowledge Management
October 26 - 30, 2008
California, Napa Valley, USA

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

View all
  • (2010)What aspects do people search in geo-referenced text?Proceedings of the 3rd International Workshop on Location and the Web10.1145/1899662.1899666(1-4)Online publication date: 29-Nov-2010
  • (2009)Snippet Generation for Geographic Information RetrievalTransactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.24.49424(494-506)Online publication date: 2009

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