Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy-Reference-Cited by-同舟云学术

Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy

Published:2022-09-18 Issue: Volume: Page:
ISSN:
Container-title:Sixteenth ACM Conference on Recommender Systems
language:
Short-container-title:

Author:

Aziz Maryam¹,Anderton Jesse¹,Jamieson Kevin²,Wang Alice¹,Bouchard Hugues³,Aslam Javed⁴

Affiliation:

1. Spotify, United States

2. University of Washington, United States

3. Spotify, Spain

4. Northeastern University, United States

Publisher

ACM

Reference34 articles.

1. Jean-Yves Audibert and Sébastien Bubeck . 2010 . Best arm identification in multi-armed bandits . In COLT-23th Conference on Learning Theory-2010 . 13–p. Jean-Yves Audibert and Sébastien Bubeck. 2010. Best arm identification in multi-armed bandits. In COLT-23th Conference on Learning Theory-2010. 13–p.

2. Maryam Aziz , Jesse Anderton , Emilie Kaufmann , and Javed Aslam . 2018 . Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence. In ALT 2018-Algorithmic Learning Theory. Maryam Aziz, Jesse Anderton, Emilie Kaufmann, and Javed Aslam. 2018. Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence. In ALT 2018-Algorithmic Learning Theory.

3. YouTube channels, uploads and views

4. Bandit problems with infinitely many arms;Berry A.;The Annals of Statistics,1997

5. Thomas Bonald and Alexandre Proutiere. 2013. Two-target algorithms for infinite-armed bandits with Bernoulli rewards. In Advances in Neural Information Processing Systems. 2184–2192. Thomas Bonald and Alexandre Proutiere. 2013. Two-target algorithms for infinite-armed bandits with Bernoulli rewards. In Advances in Neural Information Processing Systems. 2184–2192.

Cited by 4 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. Unbiased Identification of Broadly Appealing Content Using a Pure Exploration Infinitely-Armed Bandit Strategy;ACM Transactions on Recommender Systems;2023-10-05

2. Accelerating Creator Audience Building through Centralized Exploration;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

3. Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

4. Analysis of Advertising Promotion Strategy Based on Improved Collaborative Filtering Algorithm under Digital Media Technology;INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL;2023-06-20