International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023-Reference-Cited by-同舟云学术

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
language:
Short-container-title:

Author:

Tang Ruiming¹^ORCID,Zhu Xiaoqiang²^ORCID,Ge Junfeng³^ORCID,Lee Kuang-chih⁴^ORCID,Jiang Biye³^ORCID,Wang Xingxing⁵^ORCID,Zhu Han³^ORCID,Zhuang Tao³^ORCID,Liu Weiwen¹^ORCID,Ren Kan⁶^ORCID,Zhang Weinan⁷^ORCID,Zhao Xiangyu⁸^ORCID

Affiliation:

1. Huawei Noah's Ark Lab, China

2. Mobvista Group, China

3. Alibaba Group, China

4. Alibaba Group, USA

5. Meituan, China

6. Microsoft Research, China

7. Shanghai Jiao Tong University, China

8. City University of Hong Kong, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608765

Reference7 articles.

1. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

2. Weiwen Liu , Yunjia Xi , Jiarui Qin , Fei Sun , Bo Chen , Weinan Zhang , Rui Zhang , and Ruiming Tang . 2022. Neural re-ranking in multi-stage recommender systems: A review. arXiv preprint arXiv:2202.06602 ( 2022 ). Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, and Ruiming Tang. 2022. Neural re-ranking in multi-stage recommender systems: A review. arXiv preprint arXiv:2202.06602 (2022).

3. Jongsoo Park , Maxim Naumov , Protonu Basu , Summer Deng , Aravind Kalaiah , Daya Khudia , James Law , Parth Malani , Andrey Malevich , Satish Nadathur , 2018. Deep learning inference in facebook data centers: Characterization, performance optimizations and hardware implications. arXiv preprint arXiv:1811.09886 ( 2018 ). Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Khudia, James Law, Parth Malani, Andrey Malevich, Satish Nadathur, 2018. Deep learning inference in facebook data centers: Characterization, performance optimizations and hardware implications. arXiv preprint arXiv:1811.09886 (2018).

4. Estimating Long-term Effects from Experimental Data

5. Rethinking Personalized Ranking at Pinterest: An End-to-End Approach