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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