A Recommender System from Semantic Traces Based on Bayes Classifier
Résumé
Collaboration allows integrating knowledge from every participant to achieve individual or collective goals. Thanks to informational environments, we can better organize, realize and record collaboration. Every activity produces a set of traces. With the help of a model of competency, traces contribute to evaluate the competency of users on a certain subject. In this article, we propose a semantic model of traces and analyze classified traces by means of a Bayes classifier. We exploit the results to offer users recommendations and decision aid.
Origine | Fichiers produits par l'(les) auteur(s) |
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