Towards a Recommender System from Semantic Traces for Decision Aid

Ning Wang, Marie-Hélène Abel, Jean-Paul Barthès, Elsa Negre

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: KMIS, (IC3K 2014) ISBN 978-989-758-050-5, pages 274-279. DOI: 10.5220/0005133502740279


in Bibtex Style

@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 - Volume 1: KMIS, (IC3K 2014)},
year={2014},
pages={274-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005133502740279},
isbn={978-989-758-050-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2014)
TI - Towards a Recommender System from Semantic Traces for Decision Aid
SN - 978-989-758-050-5
AU - Wang N.
AU - Abel M.
AU - Barthès J.
AU - Negre E.
PY - 2014
SP - 274
EP - 279
DO - 10.5220/0005133502740279