Efficient query processing in geographic web search engines

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Efficient query processing in geographic web search engines (2006)

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by Yen-yu Chen

Venue:	In SIGMOD
Citations:	91 - 3 self

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@INPROCEEDINGS{Chen06efficientquery,
    author = {Yen-yu Chen},
    title = {Efficient query processing in geographic web search engines},
    booktitle = {In SIGMOD},
    year = {2006},
    pages = {277--288},
    publisher = {ACM Press}
}

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Abstract

Geographic web search engines allow users to constrain and order search results in an intuitive manner by focusing a query on a particular geographic region. Geographic search technology, also called local search, has recently received significant interest from major search engine companies. Academic research in this area has focused primarily on techniques for extracting geographic knowledge from the web. In this paper, we study the problem of efficient query processing in scalable geographic search engines. Query processing is a major bottleneck in standard web search engines, and the main reason for the thousands of machines used by the major engines. Geographic search engine query processing is different in that it requires a combination of text and spatial data processing techniques. We propose several algorithms for efficient query processing in geographic search engines, integrate them into an existing web search query processor, and evaluate them on large sets of real data and query traces. 1.

Keyphrases

efficient query processing geographic web search engine geographic search technology standard web search engine real data academic research major search engine company intuitive manner geographic search engine query processing query trace several algorithm local search order search result scalable geographic search engine major engine large set major bottleneck particular geographic region significant interest spatial data processing technique main reason geographic search engine web search query processor query processing search engine geographic knowledge

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