Modeling Position Bias Ranking for Streaming Media Services

Author:

Ruffini Matteo1,Bellini Vito1,Buchholz Alexander1,Di Benedetto Giuseppe1,Stein Yannik1

Affiliation:

1. Amazon Music ML, Germany

Publisher

ACM

Reference21 articles.

1. A General Framework for Counterfactual Learning-to-Rank

2. Estimating Position Bias without Intrusive Interventions

3. Carousel Personalization in Music Streaming Apps with Contextual Bandits

4. Olivier Chapelle and Yi Chang . 2011 . Yahoo! learning to rank challenge overview . In Proceedings of the learning to rank challenge. PMLR, 1–24 . Olivier Chapelle and Yi Chang. 2011. Yahoo! learning to rank challenge overview. In Proceedings of the learning to rank challenge. PMLR, 1–24.

5. Tianqi Chen , Mu Li , Yutian Li , Min Lin , Naiyan Wang , Minjie Wang , Tianjun Xiao , Bing Xu , Chiyuan Zhang , and Zheng Zhang . 2015 . Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. arXiv preprint arXiv:1512.01274(2015). Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, and Zheng Zhang. 2015. Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. arXiv preprint arXiv:1512.01274(2015).

Cited by 2 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. Ranking the causal impact of recommendations under collider bias in k-spots recommender systems;ACM Transactions on Recommender Systems;2024-05-14

2. A Probabilistic Position Bias Model for Short-Video Recommendation Feeds;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

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