Information navigation on the web by clustering and summarizing query results

Dmitri G. Roussinov, Hsinchun Chen

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users. Our prototype acted as an intermediate layer between the user and a commercial Internet search engine (Alta Vista), thus allowing searches of the significant portion of World Wide Web. In our final evaluation, we processed data from 36 users and concluded that our prototype improved search performance over using the same search engine (AltaVista) directly. We also analyzed effects of various related demographic and task related parameters.

Original languageEnglish (US)
Pages (from-to)789-816
Number of pages28
JournalInformation Processing and Management
Volume37
Issue number6
DOIs
StatePublished - Nov 2001

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Search engines
Navigation
search engine
Internet
system development
evaluation
Testing
performance
Prototype
Query
Clustering
World Wide Web
experience
Search engine

Keywords

  • Clustering
  • Information retrieval
  • Internet spiders
  • Neural networks
  • Relevance feedback
  • Search engines
  • Summarization
  • World Wide Web

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Library and Information Sciences

Cite this

Information navigation on the web by clustering and summarizing query results. / Roussinov, Dmitri G.; Chen, Hsinchun.

In: Information Processing and Management, Vol. 37, No. 6, 11.2001, p. 789-816.

Research output: Contribution to journalArticle

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