DocumentCode :
1957211
Title :
Mining user competency from semantic trace
Author :
Ning Wang ; Abel, Marie-Helene ; Barthes, Jean-Paul ; Negre, Elsa
Author_Institution :
Univ. of Technol. of Compiegne, Compiegne, France
fYear :
2015
fDate :
6-8 May 2015
Firstpage :
48
Lastpage :
53
Abstract :
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.
Keywords :
data mining; groupware; recommender systems; TF-IDF; decision aid; intellectual resources; record collaboration; semantic model; semantic trace; user competency mining; users recommendations; Semantics; competency; decision aid; recommender system; semantic modelling; traces of interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th International Conference on
Conference_Location :
Calabria
Print_ISBN :
978-1-4799-2001-3
Type :
conf
DOI :
10.1109/CSCWD.2015.7230932
Filename :
7230932
Link To Document :
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