Stochastic web-based natural language dialog planning for web information filtering

Hugo Hromic, John Atkinson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This work addresses natural language dialog planning for an intelligent web filtering model, which lets the user filter search results obtained by a traditional search engine and assists them to find what they really are looking for. Unlike state-of-the-art approaches, a stochastic planning model is proposed for a web-driven dialog system which uses Conditional Random Fields to predict next dialog moves. Experiments with real web users and different interaction settings show the promise of the approach to web-based adaptive planning aimed at information filtering.

Original languageEnglish
Pages (from-to)9420-9426
Number of pages7
JournalExpert Systems with Applications
Issue number10
StatePublished - Aug 2012
Externally publishedYes


  • Dialogue planning
  • Intelligent search
  • Machine learning
  • Statistical language models


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