A Recommender System from Semantic Traces Based on Bayes Classifier

Abstract : 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.
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Ning Wang, Marie-Hélène Abel, Jean-Paul Barthès, Elsa Negre. A Recommender System from Semantic Traces Based on Bayes Classifier. The 2nd international conference on Knowledge Management, Information and Knowledge Systems (KMIKS), Apr 2015, Hammamet, Tunisia. Proceedings of the International Conference on Knowledge Management, Information and Knowledge Systems, pp.49-60, 2015. 〈hal-01266499〉

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