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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 = {{{P}roceedings} of the Fourth International Conference on User Modeling},
  address = {Boston, MA},
  publisher = {User Modeling, Inc.},
  pages = {219}}