Abstract
We describe a novel inference method to help us deal with the problem of having sparse information about the user. The information we will have available for the user will form his/her model. That model will be represented in a conceptual graph format. We will also have gathered information about categories of users that share characteristics, preferences and interests. These will form the ”prototypes”, as we call them and will be represented in graphs as well. Because we will know significantly more about the prototypes, they will be the source where we will try to get the information we want for the user. This method has been implemented in FRIL [2, 3, 10].
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© 2000 Springer-Verlag Berlin Heidelberg
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Baldwin, J.F., Martin, T.P., Tzanavari, A. (2000). User Modelling Using Conceptual Graphs for Intelligent Agents. In: Ganter, B., Mineau, G.W. (eds) Conceptual Structures: Logical, Linguistic, and Computational Issues. ICCS 2000. Lecture Notes in Computer Science(), vol 1867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10722280_13
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DOI: https://doi.org/10.1007/10722280_13
Publisher Name: Springer, Berlin, Heidelberg
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