Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation-Reference-Cited by-同舟云学术

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation

Published:2023-02-27 Issue: Volume: Page:
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Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Qin Jiarui¹^ORCID,Zhu Jiachen¹^ORCID,Liu Yankai²^ORCID,Gao Junchao²^ORCID,Ying Jianjie³^ORCID,Liu Chaoxiong⁴^ORCID,Wang Ding⁵^ORCID,Feng Junlan²^ORCID,Deng Chao²^ORCID,Wang Xiaozheng⁵^ORCID,Jiang Jian⁵^ORCID,Liu Cong²^ORCID,Yu Yong¹^ORCID,Zeng Haitao²^ORCID,Zhang Weinan¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. China Mobile Research Institute, Beijing, China

3. China Mobile (Zhejiang) Research & Innovation Institute, Hangzhou, China

4. Digital Brain Lab, Shanghai, China

5. China Mobile Zhejiang, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570374

Reference44 articles.

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2. Personalized content recommendations on smart TV: Challenges, opportunities, and future research directions

3. Sihem Amer-Yahia , Senjuti Basu Roy , Ashish Chawlat, Gautam Das, and Cong Yu. 2009 . Group recommendation: Semantics and efficiency. VLDB Endowment. Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawlat, Gautam Das, and Cong Yu. 2009. Group recommendation: Semantics and efficiency. VLDB Endowment.

4. Qiwei Chen Huan Zhao Wei Li Pipei Huang and Wenwu Ou. 2019. Behavior sequence transformer for e-commerce recommendation in alibaba. In DLP-KDD. Qiwei Chen Huan Zhao Wei Li Pipei Huang and Wenwu Ou. 2019. Behavior sequence transformer for e-commerce recommendation in alibaba. In DLP-KDD.

5. Shi-Yong Chen Yang Yu Qing Da Jun Tan Hai-Kuan Huang and Hai-Hong Tang. 2018. Stabilizing reinforcement learning in dynamic environment with application to online recommendation. In KDD. 1187--1196. Shi-Yong Chen Yang Yu Qing Da Jun Tan Hai-Kuan Huang and Hai-Hong Tang. 2018. Stabilizing reinforcement learning in dynamic environment with application to online recommendation. In KDD. 1187--1196.

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