Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning

Published:2023-03-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Conference on Human Information Interaction and Retrieval
language:
Short-container-title:

Author:

Meggetto Francesco¹^ORCID,Revie Crawford²^ORCID,Levine John²^ORCID,Moshfeghi Yashar¹^ORCID

Affiliation:

1. NeuraSearch Laboratory, University of Strathclyde, United Kingdom

2. University of Strathclyde, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576840.3578312

Reference67 articles.

1. Sainath Adapa. 2019. Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction. arXiv preprint arXiv:1904.10273(2019). Sainath Adapa. 2019. Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction. arXiv preprint arXiv:1904.10273(2019).

2. Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction

3. M Mehdi Afsar Trafford Crump and Behrouz Far. 2021. Reinforcement learning based recommender systems: A survey. ACM Computing Surveys (CSUR)(2021). M Mehdi Afsar Trafford Crump and Behrouz Far. 2021. Reinforcement learning based recommender systems: A survey. ACM Computing Surveys (CSUR)(2021).

4. Rishabh Agarwal , Dale Schuurmans , and Mohammad Norouzi . 2020 . An optimistic perspective on offline reinforcement learning . In International Conference on Machine Learning. PMLR, 104–114 . Rishabh Agarwal, Dale Schuurmans, and Mohammad Norouzi. 2020. An optimistic perspective on offline reinforcement learning. In International Conference on Machine Learning. PMLR, 104–114.

5. Skipping Skippable Ads on YouTube: How, When, Why and Why Not?

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Negative Feedback for Music Personalization;Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-22

2. Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems;Communications in Computer and Information Science;2023-11-26

3. Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21