Combining usage and content in an online music recommendation system for music in the long-tail

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Domingues, MA (Autor) Outra; Gouyon, F (Autor) FEUP; Jorge, AM (Autor) FCUP; Leal, JP (Autor) FCUP; Vinagre, J (Autor) Outra; Lemos, L (Autor) Outra; Sordo, M (Autor) Outra

Ata de Conferência Internacional

Título: WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion

Páginas: 925-929

21st Annual Conference on World Wide Web, WWW'12

Lyon, 16 April 2012 through 20 April 2012

Indexação

ISI Web of Knowledge

Scopus - 9 Citações

Outras Informações

ID Authenticus: P-008-3X1

DOI: 10.1145/2187980.2188224

Abstract (EN): In this paper we propose a hybrid music recommender system, which combines usage and content data. We describe an online evaluation experiment performed in real time on a commercial music web site, specialised in content from the very long tail of music content. We compare it against two stand-alone recommenders, the first system based on usage and the second one based on content data. The results show that the proposed hybrid recommender shows advantages with respect to usage- and content-based systems, namely, higher user absolute acceptance rate, higher user activity rate and higher user loyalty. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5