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Geographic ranking for a local search engine

Published:23 July 2007Publication History

ABSTRACT

Traditional ranking schemes of the relevance of a Web page to a user query in a search engine are less appropriate when the search term contains geographic information. Often, geographic entities, such as addresses, city names, and location names, appear only once or twice in a Web page, and are typically not in a heading or larger font. Consequently, an alternative ranking approach to the traditional weighted tf*idf relevance ranking is need. Further, if a Web site contains a geographic entity, it is often the case that its in- and out-neighbours do not refer to the same entity, although they may refer to other geographic entities. We present a local search engine that applies a novel ranking algorithm suitable for ranking Web pages with geographic content. We describe its major components: geographic ranking, focused crawling, geographic extractor, and the related web-sites feature.

References

  1. W. Gao, H. C. Lee, and Y. Miao. Geographically focused collaborative crawling. In WWW'06: Proceedings of the 15th international conference on World Wide Web, pages 287--296, New York, NY, USA, 2006. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Ntoulas, M. Najork, M. Manasse, and D. Fetterly. Detecting spam web pages through content analysis. In WWW'06: Proceedings of the 15th international conference on World Wide Web, pages 83--92, New York, NY, USA, 2006. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Geographic ranking for a local search engine

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    • Published in

      cover image ACM Conferences
      SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
      July 2007
      946 pages
      ISBN:9781595935977
      DOI:10.1145/1277741

      Copyright © 2007 ACM

      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: 23 July 2007

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      Overall Acceptance Rate792of3,983submissions,20%

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