Mining user competency from semantic trace

Ning Wang (1) , Marie-Hélène Abel (1) , Jean-Paul A Barthès (1) , Elsa Negre (2)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]
2 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision

In order to achieve individual or collective goals, users in informational environments collaborate to integrate intellectual resources and knowledge. Thanks to informational environments, users can better organize, realize and record collaboration. Every activity produces a set of traces. Such traces can be recorded and classified, based on a model of traces. With the help of a model of competency, these traces also contribute to evaluate the competency of users on certain subjects. In this article, we propose a semantic model of traces and analyze classified traces by means of TF-IDF. We also considered the impact of time on the decreasing importance of traces. We show how to offer users recommendations and decision aid.

Mots clés: traces of interaction; competency; semantic modelling; decision aid; recommender system; traces of interaction

Domaines: Réseaux sociaux et d'information [cs.SI]

Ning Wang, Marie-Hélène Abel, Jean-Paul A Barthès, Elsa Negre. Mining user competency from semantic trace. Computer Supported Cooperative Work in Design (CSCWD),, May 2015, Calabria, Italy. pp.48-53, ⟨10.1109/CSCWD.2015.7230932⟩. ⟨hal-01266493⟩