Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations-Reference-Cited by-同舟云学术

Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Lai Hsu-Chao¹^ORCID,Yu Philip S.²^ORCID,Huang Jiun-Long¹^ORCID

Affiliation:

1. National Yang Ming Chiao Tung University, Hsinchu, Taiwan Roc

2. University of Illinois at Chicago, Chicago, IL, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614952

Reference25 articles.

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3. Ziwei Fan , Zhiwei Liu , YuWang, AliceWang, Zahra Nazari , Lei Zheng , Hao Peng , and Philip S . Yu . 2022 . Sequential Recommendation via Stochastic Self-Attention. In WWW. Ziwei Fan, Zhiwei Liu, YuWang, AliceWang, Zahra Nazari, Lei Zheng, Hao Peng, and Philip S. Yu. 2022. Sequential Recommendation via Stochastic Self-Attention. In WWW.

4. Claudia Flores-Saviaga , Jessica Hammer , Juan Pablo Flores , Joseph Seering, Stuart Reeves, and Saiph Savage. 2019 . Audience and Streamer Participation at Scale on Twitch. In ACM HT. Claudia Flores-Saviaga, Jessica Hammer, Juan Pablo Flores, Joseph Seering, Stuart Reeves, and Saiph Savage. 2019. Audience and Streamer Participation at Scale on Twitch. In ACM HT.

5. Junyu Gao Tianzhu Zhang and Changsheng Xu. 2017. A Unified Personalized Video Recommendation via Dynamic Recurrent Neural Networks. In ACM MM. Junyu Gao Tianzhu Zhang and Changsheng Xu. 2017. A Unified Personalized Video Recommendation via Dynamic Recurrent Neural Networks. In ACM MM.

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