Placing search in context: The concept revisited

Lev Finkelstein, Evgeniy Gabrilovich*, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

642 Scopus citations

Abstract

We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she views, and is guided by the text surrounding the marked query in that document ("the context"). The context-guided information retrieval process involves semantic keyword extraction and clustering to automatically generate new, augmented queries. The latter are submitted to a host of general and domain-specific search engines. The results are then semantically reranked, again, using context. It is our belief that letting context guide the search provides a better match to the user's current needs than just relying on the user's fixed personal profile. Our results show that using context to guide search effectively offers even inexperienced users an advanced search tool on the Web.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on World Wide Web, WWW 2001
PublisherAssociation for Computing Machinery, Inc
Pages406-414
Number of pages9
ISBN (Print)1581133480, 9781581133486
DOIs
StatePublished - 1 Apr 2001
Externally publishedYes
Event10th International Conference on World Wide Web, WWW 2001 - Hong Kong, Hong Kong
Duration: 1 May 20015 May 2001

Publication series

NameProceedings of the 10th International Conference on World Wide Web, WWW 2001

Conference

Conference10th International Conference on World Wide Web, WWW 2001
Country/TerritoryHong Kong
CityHong Kong
Period1/05/015/05/01

Keywords

  • Context
  • Invisible Web
  • Search
  • Semantic Processing
  • Statistical Natural Language Processing

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