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

Title
Combining usage and content in an online music recommendation system for music in the long-tail
Type
Article in International Conference Proceedings Book
Year
2012
Authors
Domingues, MA
(Author)
Other
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Gouyon, F
(Author)
FEUP
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Jorge, AM
(Author)
FCUP
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Leal, JP
(Author)
FCUP
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Vinagre, J
(Author)
Other
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Lemos, L
(Author)
Other
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Sordo, M
(Author)
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Conference proceedings International
Pages: 925-929
21st Annual Conference on World Wide Web, WWW'12
Lyon, 16 April 2012 through 20 April 2012
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge
Other information
Authenticus ID: P-008-3X1
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).
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 5
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