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Authors: Italo Zoppis 1 ; Sara Manzoni 1 ; Giancarlo Mauri 1 ; Ricardo Anibal Matamoros Aragon 1 ; Luca Marconi 2 and Francesco Epifania 2

Affiliations: 1 Department of Computer Science, University of Milano Bicocca, Milano, Italy ; 2 Social Things srl., Milano, Italy

Keyword(s): Social Networks, WhoTeach, Social Recommendations, Graph Attention Networks.

Abstract: Recent studies in the context of machine learning have shown the effectiveness of deep attentional mechanisms for identifying important communities and relationships within a given input network. These studies can be effectively applied in those contexts where capturing specific dependencies, while downloading useless content, is essential to take decisions and provide accurate inference. This is the case, for example, of current recommender systems that exploit social information as a clever source of recommendations and / or explanations. In this paper we extend the social engine of our educational platform “WhoTeach” to leverage social information for educational services. In particular, we report our work in progress for providing “WhoTeach” with an attentional-based recommander system oriented to the design of programmes and courses for new teachers.

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Paper citation in several formats:
Zoppis, I.; Manzoni, S.; Mauri, G.; Aragon, R.; Marconi, L. and Epifania, F. (2020). Attentional Neural Mechanisms for Social Recommendations in Educational Platforms. In Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-417-6; ISSN 2184-5026, SciTePress, pages 111-117. DOI: 10.5220/0009568901110117

@conference{csedu20,
author={Italo Zoppis. and Sara Manzoni. and Giancarlo Mauri. and Ricardo Anibal Matamoros Aragon. and Luca Marconi. and Francesco Epifania.},
title={Attentional Neural Mechanisms for Social Recommendations in Educational Platforms},
booktitle={Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2020},
pages={111-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009568901110117},
isbn={978-989-758-417-6},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - Attentional Neural Mechanisms for Social Recommendations in Educational Platforms
SN - 978-989-758-417-6
IS - 2184-5026
AU - Zoppis, I.
AU - Manzoni, S.
AU - Mauri, G.
AU - Aragon, R.
AU - Marconi, L.
AU - Epifania, F.
PY - 2020
SP - 111
EP - 117
DO - 10.5220/0009568901110117
PB - SciTePress

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