Information navigation on the web by clustering and summarizing query results

Dmitri G. Roussinov, Hsinchun Chen

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


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
Issue number6
StatePublished - Nov 2001


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

ASJC Scopus subject areas

  • Information Systems
  • Media Technology
  • Computer Science Applications
  • Management Science and Operations Research
  • Library and Information Sciences


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