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This paper presents an approach to predict userpsilas interests in Web-based educational systems, using the collaborative filtering methods weighted by implicit information about userpsilas navigation. To test and evaluate the proposed approach, we used a particular case study. The values were obtained by a domain specialist and we compared the approach results using a cross-validation method. The obtained results show that only the traditional prediction in collaborative filtering does not assert that the userpsilas classification is the real userpsilas relationship with the system.
Date of Conference: 16-18 July 2008