MuRS: Music Recommender Systems Workshop

被引：0

作者：

Ferraro, Andres ^{[1
]}

Knees, Peter ^{[2
]}

Quadrana, Massimo ^{[3
]}

Ye, Tao ^{[4
]}

Gouyon, Fabien ^{[1
]}

机构：

[1] Pandora SiriusXM, Oakland, CA 94612 USA

[2] TU Wien, Vienna, Austria

[3] Apple, London, England

[4] Amazon, Seattle, WA USA

来源：

PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023 | 2023年

基金：

奥地利科学基金会;

关键词：

music information retrieval; music recommender systems;

D O I：

10.1145/3604915.3608750

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页码：1227 / 1230

页数：4

共 15 条

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[J]. PROCEEDINGS OF THE 16TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2022, 2022, : 567 - 572
[8] What Is Fair? Exploring the Artists' Perspective on the Fairness of Music Streaming Platforms
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[9] ReXPlug: Explainable Recommendation using Plug and Play Language Model
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