Deep Exploration for Recommendation Systems-Reference-Cited by-同舟云学术

Deep Exploration for Recommendation Systems

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
language:
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Author:

Zhu Zheqing¹^ORCID,Van Roy Benjamin²^ORCID

Affiliation:

1. Applied Reinforcement Learning, Meta AI, USA and Stanford University, USA

2. Stanford University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608855

Reference49 articles.

1. Peter L Bartlett Dylan J Foster and Matus J Telgarsky. 2017. Spectrally-Normalized Margin Bounds for Neural Networks. In Advances in Neural Information Processing Systems. 6240–6249. Peter L Bartlett Dylan J Foster and Matus J Telgarsky. 2017. Spectrally-Normalized Margin Bounds for Neural Networks. In Advances in Neural Information Processing Systems. 6240–6249.

2. Stephanie Blanda . 2016. Online Recommender Systems–How Does a Website Know What I Want?American Mathematical Society. Retrieved October 31 ( 2016 ). Stephanie Blanda. 2016. Online Recommender Systems–How Does a Website Know What I Want?American Mathematical Society. Retrieved October 31 (2016).

3. Ensemble Recommendations via Thompson Sampling

4. Olivier Chapelle and Lihong Li. 2011. An Empirical Evaluation of Thompson Sampling. In Advances in Neural Information Processing Systems. 2249–2257. Olivier Chapelle and Lihong Li. 2011. An Empirical Evaluation of Thompson Sampling. In Advances in Neural Information Processing Systems. 2249–2257.

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