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One Model to Serve All: Star Topology Adaptive Recommender for
  Multi-Domain CTR Prediction
v1v2v3v4v5 (latest)

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction

27 January 2021
Xiang-Rong Sheng
Liqin Zhao
Guorui Zhou
Xinyao Ding
Binding Dai
Qiang Luo
Siran Yang
Jingshan Lv
Chi Zhang
Hongbo Deng
Xiaoqiang Zhu
    LRM
ArXiv (abs)PDFHTML

Papers citing "One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction"

11 / 61 papers shown
Title
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario
  Personalized Recommendation
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation
Yuanliang Zhang
Xiaofeng Wang
Jinxin Hu
Ke Gao
Chenyi Lei
Fei Fang
64
19
0
24 Aug 2022
KEEP: An Industrial Pre-Training Framework for Online Recommendation via
  Knowledge Extraction and Plugging
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging
Yujing Zhang
Zhangming Chan
Shuhao Xu
Weijie Bian
Shuguang Han
Hongbo Deng
Bo Zheng
108
22
0
22 Aug 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid
  Model
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
Xiang-Rong Sheng
Jingyue Gao
Yueyao Cheng
Siran Yang
Shuguang Han
Hongbo Deng
Yuning Jiang
Jian Xu
Bo Zheng
78
28
0
12 Aug 2022
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain
  Click-Through Rate Prediction
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction
Xuanhua Yang
Xiaoyu Peng
Penghui Wei
Shaoguo Liu
Liangji Wang
Bo Zheng
CML
59
29
0
27 Jun 2022
Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Xinyu Zou
Zhi Hu
Yiming Zhao
X. Ding
Zhongyi Liu
Chenliang Li
Aixin Sun
MoE
22
37
0
28 May 2022
PICASSO: Unleashing the Potential of GPU-centric Training for
  Wide-and-deep Recommender Systems
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
Yuanxing Zhang
Langshi Chen
Siran Yang
Man Yuan
Hui-juan Yi
...
Yong Li
Dingyang Zhang
Wei Lin
Lin Qu
Bo Zheng
85
32
0
11 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate
  Prediction
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
Bencheng Yan
Pengjie Wang
Kai Zhang
Feng Li
Hongbo Deng
Jian Xu
Bo Zheng
59
20
0
30 Mar 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning
  Approach for Advertiser Modeling
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling
Qianqian Zhang
Xinru Liao
Quanlian Liu
Jian Xu
Bo Zheng
64
60
0
18 Jan 2022
MOEF: Modeling Occasion Evolution in Frequency Domain for
  Promotion-Aware Click-Through Rate Prediction
MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction
Xiaofeng Pan
Yibin Shen
Jing Zhang
Xu He
Yang Huang
Hong Wen
Chengjun Mao
Bo Cao
49
2
0
27 Dec 2021
Real Negatives Matter: Continuous Training with Real Negatives for
  Delayed Feedback Modeling
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling
Siyu Gu
Xiang-Rong Sheng
Ying Fan
Guorui Zhou
Xiaoqiang Zhu
56
27
0
29 Apr 2021
CAN: Feature Co-Action for Click-Through Rate Prediction
CAN: Feature Co-Action for Click-Through Rate Prediction
Weijie Bian
Kailun Wu
Lejian Ren
Qi Pi
Yujing Zhang
...
Xinchen Luo
Shiming Xiang
Guorui Zhou
Xiaoqiang Zhu
Hongbo Deng
62
9
0
11 Nov 2020
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