Dynamically Constructed Bayesian Networks for Modeling Interests and Knowledge

By: Anthony Jameson and Ralph Schäfer (1994)

In A. Kobsa & D. Litman (Eds.), Proceedings of the Fourth International Conference on User Modeling (p. 219). Boston, MA: User Modeling, Inc.

Abstract: Inferring a user's underlying interests and knowledge on the basis of observable behavior is a complex task involving a great deal of uncertainty. We demonstrate the utility of an approach that combines the theory of intuitive psychometrics (Jameson, 1992) with the techniques of Bayesian belief networks (Pearl, 1988).

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BibTeX entry:

@incollection{JamesonS94,
  year = {1994},
  author = {{Jameson}, Anthony and {Sch\"{a}fer}, Ralph},
  editor = {{Kobsa}, Alfred and {Litman}, Diane},
  title = {Dynamically Constructed {B}ayesian Networks for Modeling Interests and Knowledge},
  booktitle = {{Proceedings of the Fourth International Conference on User Modeling}},
  address = {Boston, MA},
  publisher = {User Modeling, Inc.},
  pages = {219},
  note = {Available from http://dfki.de/$\sim$jameson/abs/JamesonS94.html}}