MuRS: Music Recommender Systems Workshop

Author:

Ferraro Andres1ORCID,Knees Peter2ORCID,Quadrana Massimo3ORCID,Ye Tao4ORCID,Gouyon Fabien1ORCID

Affiliation:

1. Pandora-SiriusXM, USA

2. TU Wien, Austria

3. Apple, United Kingdom

4. Amazon, USA

Publisher

ACM

Reference16 articles.

1. Algorithmic Effects on the Diversity of Consumption on Spotify

2. Amélie Anglade , Claudio Baccigalupo , Norman Casagrande , Òscar Celma , and Paul Lamere . 2010 . Workshop Report: WOMRAD 2010. In Proceedings of the Fourth ACM Conference on Recommender Systems ( Barcelona, Spain) (RecSys ’10). Association for Computing Machinery, New York, NY, USA, 381–382. https://doi.org/10.1145/ 1864708.1864799 10.1145/1864708.1864799 Amélie Anglade, Claudio Baccigalupo, Norman Casagrande, Òscar Celma, and Paul Lamere. 2010. Workshop Report: WOMRAD 2010. In Proceedings of the Fourth ACM Conference on Recommender Systems (Barcelona, Spain) (RecSys ’10). Association for Computing Machinery, New York, NY, USA, 381–382. https://doi.org/10.1145/1864708.1864799

3. WOMRAD

4. Oscar Celma . 2010. Music Recommendation and Discovery: The Long Tail , Long Fail, and Long Play in the Digital Music Space ( 1 st ed.). Springer Publishing Company, Inc orporated. Oscar Celma. 2010. Music Recommendation and Discovery: The Long Tail, Long Fail, and Long Play in the Digital Music Space (1st ed.). Springer Publishing Company, Incorporated.

5. Recsys challenge 2018

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