Abstract
This work proposes a stochastic web-based natural language dialogue planner for an intelligent web filtering model, which allows users to filter search results obtained by a traditional search engine and assists them to find what they really are looking for. Experiments with web users and different interaction settings show the promise of the approach to web-based adaptive planning.
This research is sponsored by the educational technology project FONDEF, Chile under grant number D08I1155: “Semantic Identification and Automatic Synthesis of Educational Materials for Specialised Domains”.
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Hromic, H., Atkinson, J. (2012). Intelligent Web-Based Natural Language Dialogue Planning for Web Information Filtering. In: Ding, W., Jiang, H., Ali, M., Li, M. (eds) Modern Advances in Intelligent Systems and Tools. Studies in Computational Intelligence, vol 431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30732-4_20
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DOI: https://doi.org/10.1007/978-3-642-30732-4_20
Publisher Name: Springer, Berlin, Heidelberg
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