Recommending Competent Users from Semantic Traces Using a Bayes Classifier

Abstract

When users collaborate, they leave traces in some way or another. These traces in return offer a clue whether a user is competent enough on a subject. This helps further collaboration because knowing the specialization of users helps to distribute tasks reasonably. In this article, we propose a semantic model of traces and analyze classified traces using a Bayes classifier. We exploit the results to offer recommendation on competent users accordingly.