Towards effective adaptive information filtering using natural language dialogs and search-driven agents

  • Authors:
  • Anita Ferreira-Cabrera;John A. Atkinson-Abutridy

  • Affiliations:
  • Departamento de Español, Universidad de Concepción, Concepción, Chile;Departamento de Ingeniería Informática, Universidad de Concepción, Concepción, Chile

  • Venue:
  • IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, an adaptive natural language dialog model for Web-based cooperative interactions is proposed to improve the results in achieving a successful filtered search on the Web. The underlying principle, based on automatically generating language-driven interactions which take into account the context and the user's feedback is discussed. The preliminary working design and experiments, and the results of some real evaluations are also highlighted.