This tutorial has been cancelled
Òscar Celma (Barcelona Music and Audio Technologies) [Short Bio]
Paul Lamere (The Echo Nest) [Short Bio]
Abstract:
As the world of online music grows, music recommendation systems become an increasingly important way for music listeners to discover new music. Commercial recommenders such as Last.fm and Pandora have enjoyed commercial and critical success. But how well do these systems really work? How good are the recommendations? How far into the `long tail' do these recommenders reach? In this tutorial we look at the current state-of-the-art in music recommendation. We examine current commercial and research systems, focusing on the advantages and the disadvantages of the various recommendation strategies. We look at some of the challenges in building music recommenders and we explore some of the ways that Information Retrieval techniques can be used to improve future recommenders, including a multi-modal approach merging the different fields (audio, image, video and text). [Back to top]
Bios:
Òscar Celma
Òscar Celma is the Chief Innovation Officer at Barcelona Music and Audio Technologies. In 2008, Òscar obtained his Ph.D. in Computer Science and Digital Communication, in the Pompeu Fabra University (Barcelona, Spain). Òscar worked in the Music Technology Group (MTG) from 2000 till 2008 as a Researcher and Program Manager. At the MTG he has been involved in several EU projects, such as SIMAC, Cuidado, Pharos, and Opendrama. In 2006, he received the 2nd prize in the International Semantic Web Challenge for the system named "Foafing the Music" (a personalized music recommendation and discovery application). Òscar is an Associate Professor of the Pompeu Fabra University, where he has been teaching Databases and Information Retrieval lectures since 2001. Òscar has more than 35 papers published, including a Book chapter, several Journal, and peer-reviewed conferences. Òscar holds 2 patents (US2003009344 and JP2003323188, 2002) from his work on the Vocaloid system, a singing voice-synthesizer bought by Yamaha in 2004. Since 2006 he is an Invited Expert of the W3C Multimedia Semantics Incubator Group. [Back to top]
Paul Lamere
Paul Lamere is the Director of Developer Community at The Echo Nest, a research-focused music intelligence startup that provides music information services to developers and partners through a data mining and machine listening platform. Paul is especially interested in hybrid music recommenders and using visualizations to aid music discovery. Paul is the Industrial Co-chair for ACM RecSys '09, the annual conference on research and applications of recommender technologies and serves on the program committee for ISMIR (The International Society for Music Information Retrieval). Paul also authors 'Music Machinery' (MusicMachinery.com) a popular blog focusing on music discovery and recommendation. [Back to top]
This tutorial has been cancelled
