PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement-Reference-Cited by-同舟云学术

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Xue Wanqi¹^ORCID,Cai Qingpeng²^ORCID,Xue Zhenghai¹^ORCID,Sun Shuo¹^ORCID,Liu Shuchang²^ORCID,Zheng Dong²^ORCID,Jiang Peng²^ORCID,Gai Kun³^ORCID,An Bo¹^ORCID

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. Kuaishou Technology, Beijing, China

3. Unaffiliated, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599473

Reference54 articles.

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2. Algorithmic Effects on the Diversity of Consumption on Spotify

3. Xueying Bai Jian Guan and Hongning Wang. 2019. A model-based reinforcement learning with adversarial training for online recommendation. In NeurIPS. 10734--10745. Xueying Bai Jian Guan and Hongning Wang. 2019. A model-based reinforcement learning with adversarial training for online recommendation. In NeurIPS. 10734--10745.

4. Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons

5. Reinforcing User Retention in a Billion Scale Short Video Recommender System

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