Intelligent Request Strategy Design in Recommender System-Reference-Cited by-同舟云学术

Intelligent Request Strategy Design in Recommender System

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Qian Xufeng¹,Xu Yue¹,Lv Fuyu¹,Zhang Shengyu²,Jiang Ziwen¹,Liu Qingwen¹,Zeng Xiaoyi¹,Chua Tat-Seng³,Wu Fei⁴

Affiliation:

1. Alibaba Group, Hangzhou, China

2. Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China

3. National University of Singapore, Singapore, Singapore

4. Shanghai Institute for Advanced Study of Zhejiang University, Shanghai AI Laboratory, Shanghai, China

Funder

Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539123

Reference45 articles.

1. Farrokh Alemi , Harold Erdman , Igor Griva , and Charles H Evans . 2009. Improved statistical methods are needed to advance personalized medicine. The open translational medicine journal ( 2009 ). Farrokh Alemi, Harold Erdman, Igor Griva, and Charles H Evans. 2009. Improved statistical methods are needed to advance personalized medicine. The open translational medicine journal (2009).

2. Susan Athey and Guido W Imbens . 2015. Machine learning methods for estimating heterogeneous causal effects. stat , Vol. 1050 , 5 ( 2015 ), 1--26. Susan Athey and Guido W Imbens. 2015. Machine learning methods for estimating heterogeneous causal effects. stat, Vol. 1050, 5 (2015), 1--26.

3. Zeyuan Chen , Jiangchao Yao , Feng Wang , Kunyang Jia , Bo Han , Wei Zhang , and Hongxia Yang . 2021. MCtextdollar^ 2textdollar-SF : Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. CoRR , Vol. abs/ 2109 .12314 ( 2021 ). Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, and Hongxia Yang. 2021. MCtextdollar^ 2textdollar-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. CoRR, Vol. abs/2109.12314 (2021).

4. Kyunghyun Cho , Bart Van Merriënboer , Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 . Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014). Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014).

5. Paul Covington Jay Adams and Emre Sargin. 2016. Deep Neural Networks for YouTube Recommendations.. In RecSys. Paul Covington Jay Adams and Emre Sargin. 2016. Deep Neural Networks for YouTube Recommendations.. In RecSys.

Cited by 6 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. DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. A survey on fairness-aware recommender systems;Information Fusion;2023-12

3. Multi-channel Integrated Recommendation with Exposure Constraints;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

4. Multi-factor Sequential Re-ranking with Perception-Aware Diversification;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

5. Personalized Latent Structure Learning for Recommendation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-08