Selective hypertext induced topic search

Amit C. Awekar, Pabitra Mitra, Jaewoo Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


We address the problem of answering broad-topic queries on the World Wide Web. We present a link based analysis al-gorithm SelHITS, which is an improvement over Kleinberg's HITS [2] algorithm. We introduce the concept of virtual links to exploit the latent information in the hyperlinked environment. We propose a novel approach to calculate hub and authority values. We also present a selective expan-sion method which avoids topic drift and provides results consistent with only one interpretation of the query, even if the query is ambiguous. Initial experimental evaluation and user feedback show that our algorithm indeed distills the most important and relevant pages for broad-topic queries. We also infer that there exists a uniform notion of quality of search results within users.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on World Wide Web
Number of pages2
Publication statusPublished - 2006
Externally publishedYes
Event15th International Conference on World Wide Web - Edinburgh, Scotland, United Kingdom
Duration: 2006 May 232006 May 26

Publication series

NameProceedings of the 15th International Conference on World Wide Web


Other15th International Conference on World Wide Web
Country/TerritoryUnited Kingdom
CityEdinburgh, Scotland


  • Link analysis
  • Searching
  • Topic distillation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software


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