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Authors: Ning Wang 1 ; Marie-Hélène Abel 1 ; Jean-Paul Barthès 1 and Elsa Negre 2

Affiliations: 1 University of Technology of Compiègne, France ; 2 Paris-Dauphine University, France

Keyword(s): Traces of Interaction, Recommender System, Semantic Modelling.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Communication, Collaboration and Information Sharing ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: Collaboration allows integrating intellectual resources and knowledge from all participants in order to achieve individual or collective goals. With the help of informational environments, we can better organize, realize and record collaboration. During interactions among users in such environments, each activity produces a set of traces. Such traces are recorded and classified, based on a model of traces and can be exploited to improve collaboration. In this article, we propose a semantic model of traces and analyze classified traces by means of TF-IDF. We exploit the results to offer users recommendations and decision aid.

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Paper citation in several formats:
Wang, N.; Abel, M.; Barthès, J. and Negre, E. (2014). Towards a Recommender System from Semantic Traces for Decision Aid. In Proceedings of the International Conference on Knowledge Management and Information Sharing (IC3K 2014) - KMIS; ISBN 978-989-758-050-5; ISSN 2184-3228, SciTePress, pages 274-279. DOI: 10.5220/0005133502740279

@conference{kmis14,
author={Ning Wang. and Marie{-}Hélène Abel. and Jean{-}Paul Barthès. and Elsa Negre.},
title={Towards a Recommender System from Semantic Traces for Decision Aid},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing (IC3K 2014) - KMIS},
year={2014},
pages={274-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005133502740279},
isbn={978-989-758-050-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Management and Information Sharing (IC3K 2014) - KMIS
TI - Towards a Recommender System from Semantic Traces for Decision Aid
SN - 978-989-758-050-5
IS - 2184-3228
AU - Wang, N.
AU - Abel, M.
AU - Barthès, J.
AU - Negre, E.
PY - 2014
SP - 274
EP - 279
DO - 10.5220/0005133502740279
PB - SciTePress

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