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Evaluation Methods for Learning about Users I. Zukerman, A.E. Nicholson and D.W. Albrecht
 

Summary: Evaluation Methods for Learning about Users
I. Zukerman, A.E. Nicholson and D.W. Albrecht
School of Computer Science and Software Engineering, Monash University
Clayton, VICTORIA 3168, AUSTRALIA
fingrid,annn,dwag@csse.monash.edu.au
Abstract
This paper describes the evaluation methods applied
to assess the performance of the user models devel­
oped in the framework of a three­year plan recognition
project. The user models were learned from observa­
tions of the behaviour of large numbers of users, and
were used to predict users' immediate activities and
eventual goals in two related domains: a Multi­User
adventure game and the World Wide Web. The eval­
uation methods were influenced by the features of the
domain and the applied modeling techniques.
1 Introduction
Systems that learn about users typically perform the follow­
ing tasks: (1) collect data, (2) consider the features of the do­
main to identify models that are suitable for representing the

  

Source: Albrecht, David - Caulfield School of Information Technology, Monash University
Nicholson, Ann - School of Computer Science and Software Engineering, Monash University

 

Collections: Computer Technologies and Information Sciences