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

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

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

Conference proceedings International

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

Pages: 925-929

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

Lyon, 16 April 2012 through 20 April 2012

Indexing

ISI Web of Knowledge

Scopus - 9 Citations

Other information

Authenticus ID: 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).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5