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A Semantic Hybrid Approach for Sound Recommendation
| Title | A Semantic Hybrid Approach for Sound Recommendation |
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Conference Name | 24th International World Wide Web Conference (WWW 2015) |
| Authors | Ostuni, V. C. , Oramas S. , Di Noia T. , Serra X. , & Di Sciascio E. |
| Conference Start Date | 18/05/2015 |
| Publisher | Sheridan Communications |
| Conference Location | Florence, Italy |
| Abstract | 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. |
| Final publication | http://dx.doi.org/10.1145/2740908.2742775 |
