• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations

DMCA

Categorizing Web Queries According to Geographical Locality (2003)

Cached

  • Download as a PDF

Download Links

  • [www1.cs.columbia.edu]
  • [www.cs.columbia.edu]
  • [www.cs.columbia.edu]
  • [web5.cs.columbia.edu]
  • [www.cs.columbia.edu]

  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Luis Gravano, et al.
Citations:54 - 0 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Gravano03categorizingweb,
    author = {Luis Gravano and et al.},
    title = {Categorizing Web Queries According to Geographical Locality},
    year = {2003}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

... according to their geographical locality. For example, a web page with general information about wildflowers could be considered a global page, likely to be of interest to a geographically broad audience. In contrast, a web page with listings on houses for sale in a specific city could be regarded as a local page, likely to be of interest only to an audience in a relatively narrow region. Similarly, some search engine queries (implicitly) target global pages, while other queries are after local pages. For example, the best results for query [wildflowers] are probably global pages about wildflowers such as the one discussed above. However, local pages that are relevant to, say, San Francisco are likely to be good matches for a query [houses for sale] that was issued by a San Francisco resident or by somebody moving to that city. Unfortunately, search engines do not analyze the geographical locality of queries and users, and hence often produce sub-optimal results. Thus query [wildflowers ] might return pages that discuss wildflowers in specific U.S. states (and not general information about wildflowers), while query [houses for sale] might return pages with real estate listings for locations other than that of interest to the person who issued the query. Deciding whether an unseen query should produce mostly local or global pages---without placing this burden on the search engine users---is an important and challenging problem, because queries are often ambiguous or underspecify the information they are after. In this paper, we address this problem by first defining how to categorize queries according to their (often implicit) geographical locality. We then introduce several alternatives for automatically and efficiently categorizing queries in our scheme, using a variety...

Keyphrases

geographical locality    web query    local page    global page    general information    query house    web page    unseen query    challenging problem    specific u.s. state    target global page    san francisco resident    search engine query    good match    san francisco    search engine user    discus wildflower    sub-optimal result    real estate listing    specific city    narrow region    several alternative    query wildflower    search engine    broad audience   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University