Intelligent Information Processing for User Modeling

  title={Intelligent Information Processing for User Modeling},
  author={Aimilia Tzanavari and Patrick Paulson},
This paper describes an architecture for modeling users with fuzzy conceptual graphs. The primary result is a method for finding similarity between fuzzy conceptual graphs. This allows the use of lazy learning techniques to make conjectures about users based on facts known about other users. These techniques have been used in user modeling research under the term collaborative filtering. Collaborative filtering focuses on the identification of users with similar characteristics to the active… CONTINUE READING

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