DocumentCode :
3728135
Title :
Recommending Competent Users from Semantic Traces Using a Bayes Classifier
Author :
Ning Wang;Marie-H?l?ne ; Barth?s;Elsa Negre
Author_Institution :
UTC, Sorbonne Univ., Compiegne, France
fYear :
2015
Firstpage :
1351
Lastpage :
1356
Abstract :
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.
Keywords :
"Semantics","Resource description framework","Recommender systems","Collaboration","Ontologies","Adaptation models","Analytical models"
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/SMC.2015.240
Filename :
7379372
Link To Document :
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