Ostuni, Vito ClaudioDi Noia, TommasoDi Sciascio, EugenioOramas, SergioSerra, Xavier2020-09-042020-09-042015Ostuni VC, Di Noia T, Di Sciascio E, Oramas S, Serra X. A semantic hybrid approach for sound recommendation. In: WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web; 2015 May 18-22; Florence, Italy. New York: ACM; 2015. p. 85–6. DOI: 10.1145/2740908.2742775978-1-4503-3473-0http://hdl.handle.net/10230/45255Comunicació presentada a: WWW '15 the 24th International Conference on World Wide Web, celebrat del 18 al 22 de maig de 2015 a Florència, Itàlia.In this work we describe a hybrid recommendation approach for recommending sounds to users by exploiting and semantically enriching textual information such as tags and sounds descriptions. As a case study we used Freesound, a popular site for sharing sound samples which counts more than 4 million registered users. Tags and textual sound descriptions are exploited to extract and link entities to external ontologies such as WordNet and DBpedia. The enriched data are eventually merged with a domain specific tagging ontology to form a knowledge graph. Based on this latter, recommendations are then computed using a semantic version of the feature combination hybrid approach. An evaluation on historical data shows improvements with respect to state of the art collaborative algorithms.application/pdfeng© 2015 Association for Computing Machineryinfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1145/2740908.2742775Hybrid recommender systemOntologiesTagging systemsEntity linkingMusicAggregate diversityNoveltyinfo:eu-repo/semantics/openAccess