Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification

Author:

Zhang Xiao1,Dai Sunhao1,Xu Jun1,Dong Zhenhua2,Dai Quanyu2,Wen Ji-Rong1

Affiliation:

1. Renmin University of China, Beijing, China

2. Huawei Noah's Ark Lab, Shenzhen, China

Funder

National Natural Science Foundation of China

Major Innovation & Planning Interdisciplinary Platform for the ``Double-First Class' Initiative Renmin University of China

the Fundamental Research Funds for the Central Universities and the Research Funds of Renmin University of China

Beijing Outstanding Young Scientist Program

Intelligent Social Governance Interdisciplinary Platform

Public Policy and Decision-making Research Lab of Renmin University of China

National Key R&D Program of China

Publisher

ACM

Reference41 articles.

1. Kachkach Ahmed . 2016. Analyzing user behavior and sentiment in music streaming services . Master's thesis . KTH Royal Institute of Technology . Kachkach Ahmed. 2016. Analyzing user behavior and sentiment in music streaming services . Master's thesis. KTH Royal Institute of Technology.

2. Qingyao Ai , Keping Bi , Cheng Luo , Jiafeng Guo , and W. Bruce Croft . 2018. Unbiased learning to rank with unbiased propensity estimation . In Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. 385--394 . Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, and W. Bruce Croft. 2018. Unbiased learning to rank with unbiased propensity estimation. In Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. 385--394.

3. á Oscar Celma . 2010. Music recommendation and discovery: The long tail, long fail, and long play in the digital music space . Springer Publishing Company, Inc orporated. áOscar Celma. 2010. Music recommendation and discovery: The long tail, long fail, and long play in the digital music space .Springer Publishing Company, Incorporated.

4. Carousel Personalization in Music Streaming Apps with Contextual Bandits

5. Ilai Bistritz Zhengyuan Zhou Xi Chen Nicholas Bambos and Jose Blanchet. 2019. Online EXP3 learning in adversarial bandits with delayed feedback. In Advances in Neural Information Processing Systems 32. 11349--11358. Ilai Bistritz Zhengyuan Zhou Xi Chen Nicholas Bambos and Jose Blanchet. 2019. Online EXP3 learning in adversarial bandits with delayed feedback. In Advances in Neural Information Processing Systems 32. 11349--11358.

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