Efficient Online Learning to Rank for Sequential Music Recommendation-Reference-Cited by-同舟云学术

Efficient Online Learning to Rank for Sequential Music Recommendation

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Chaves Pedro Dalla Vecchia¹,Pereira Bruno L.¹,Santos Rodrygo L. T.¹

Affiliation:

1. Universidade Federal de Minas Gerais, Brazil

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512116

Reference48 articles.

1. Claudio Baccigalupo and Enric Plaza. 2006. Case-based Sequential Ordering of Songs for Playlist Recommendation. In ECCBR. 286–300. Claudio Baccigalupo and Enric Plaza. 2006. Case-based Sequential Ordering of Songs for Playlist Recommendation. In ECCBR. 286–300.

2. Automated Generation of Music Playlists: Survey and Experiments

3. Klaas Bosteels and Etienne E. Kerre . 2009. A Fuzzy Framework for Defining Dynamic Playlist Generation Heuristics. Fuzzy Sets and Systems 160, 23 ( 2009 ). Klaas Bosteels and Etienne E. Kerre. 2009. A Fuzzy Framework for Defining Dynamic Playlist Generation Heuristics. Fuzzy Sets and Systems 160, 23 (2009).

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

5. Playlist prediction via metric embedding

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