Abstract
This paper is concerned with the management of dialogue between the user and an expert system that assists with the statistical analysis of preference data. The main focus of the paper is the development of a cluster-based user model that modifies the frequency, style and content of the messages produced by the expert system. Clusters in the population of potential users are identified by cluster analysis of the results of a preliminary survey dealing with knowledge of technical terms and style of interaction with a computer.
This research formed part of a research report submitted to the Faculty of Science of the University of the Witwatersrand, Johannesburg in partial fulfilment of the requirements for the degree of Master of Science.
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Muller, M.W. (1997). Managing dialogue in a statistical expert assistant with a cluster-based user model. In: Liu, X., Cohen, P., Berthold, M. (eds) Advances in Intelligent Data Analysis Reasoning about Data. IDA 1997. Lecture Notes in Computer Science, vol 1280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0052827
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DOI: https://doi.org/10.1007/BFb0052827
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