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

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. © Springer-Verlag Berlin Heidelberg 2005.