ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data

Iacopo Vagliano 1 Cristhian Figueroa 1 Oscar Rodríguez Rocha 2, 3, 4 Marco Torchiano 1 Catherine Faron-Zucker 4, 2, 3 Maurizio Morisio 1
1 DAUIN - Dipartimento di Automatica e Informatica [Torino]
2 CRISAM - Inria Sophia Antipolis - Méditerranée
3 I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis
4 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : The Web of Data is an interconnected global dataspace in which discovering resources related to a given resource and recommend relevant ones is still an open research area. This work describes a new recommendation algorithm based on structured data published on the Web (Linked Data). The algorithm exploits existing relationships between resources by dynamically analyzing both the categories to which they belong to and their explicit references to other resources. A user study conducted to evaluate the algorithm showed that our algorithm provides more novel recommendations than other state-of-the-art algorithms and keeps a satisfying prediction accuracy. The algorithm has been applied in a mobile application to recommend movies by relying on DBpedia (the Linked Data version of Wikipedia), although it could be applied to other datasets on the Web of Data.
Keywords : Recommender System Linked Data DBpedia Semantic Web
Type de document :
Communication dans un congrès
3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Sep 2016, Boston, United States. CEUR, 1673, 2016, New Trends in Content-Based Recommender Systems. <http://ceur-ws.org/Vol-1673/>
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https://hal.inria.fr/hal-01379996
Contributeur : Oscar Rodríguez Rocha <>
Soumis le : mercredi 12 octobre 2016 - 12:13:31
Dernière modification le : jeudi 24 novembre 2016 - 13:58:08
Document(s) archivé(s) le : samedi 4 février 2017 - 19:46:12

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Iacopo Vagliano, Cristhian Figueroa, Oscar Rodríguez Rocha, Marco Torchiano, Catherine Faron-Zucker, et al.. ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data. 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Sep 2016, Boston, United States. CEUR, 1673, 2016, New Trends in Content-Based Recommender Systems. <http://ceur-ws.org/Vol-1673/>. <hal-01379996>

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