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

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
ArXivPDFHTML

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

18 / 18 papers shown
Title
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
Zuoli Tang
Zhaoxin Huan
Zihao Li
Xiaolu Zhang
Jun Hu
Chilin Fu
Jun Zhou
Lixin Zou
Chenliang Li
61
15
0
20 Feb 2025
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
Xiaopeng Li
Jingtong Gao
Pengyue Jia
Xiangyu Zhao
Yichao Wang
...
Yansen Wang
Yuhao Wang
Xiangyu Zhao
Huifeng Guo
Ruiming Tang
65
1
0
17 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Qiang Liu
Zhaopeng Qiu
Xiangyu Zhao
X. Wu
Zijian Zhang
Tong Xu
Feng Tian
41
0
0
31 Dec 2024
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation
  Based on Multi-Source Heterogeneous Transfer Learning
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
Ke Xu
Ziliang Wang
Wei Zheng
Yuhao Ma
Chenglin Wang
Nengxue Jiang
Cai Cao
60
4
0
14 Nov 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Yuang Zhao
Zhaocheng Du
Qinglin Jia
Linxuan Zhang
Zhenhua Dong
Ruiming Tang
38
2
0
21 May 2024
An Adaptive Framework of Geographical Group-Specific Network on O2O
  Recommendation
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation
Luo Ji
Jiayu Mao
Hailong Shi
Qian Li
Yunfei Chu
Hongxia Yang
16
0
0
28 Dec 2023
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for
  Cascade Ranking Systems
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
Yunli Wang
Zhiqiang Wang
Jian Yang
Shiyang Wen
Dongying Kong
Han Li
Kun Gai
32
10
0
16 Oct 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR
  Prediction in Taobao
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Jingyue Gao
Shuguang Han
Ziru Xu
Siran Yang
Yuning Jiang
Jian Xu
Bo Zheng
38
11
0
06 Jun 2023
Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep Learning
Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep Learning
Yi Lu
Yadong Wang
Xingbo Jiang
X. Bai
126
1
0
30 May 2023
ALT: An Automatic System for Long Tail Scenario Modeling
ALT: An Automatic System for Long Tail Scenario Modeling
Ya-Lin Zhang
Jun Zhou
Yankun Ren
Yue Zhang
Xinxing Yang
Meng Li
Qitao Shi
Longfei Li
25
0
0
19 May 2023
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical
  Information Extraction
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
Jie Zhou
Xia Cao
Wenhao Li
Lin Bo
Kun Zhang
Chuan Luo
Qian Yu
29
24
0
10 Mar 2023
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR
  Prediction
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction
Jinyun Li
Huiwen Zheng
Yuan-Cheng Liu
Minfang Lu
Lixia Wu
Haoyuan Hu
47
7
0
22 Nov 2022
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering
  Service
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service
Boya Du
Shaochuan Lin
Jiong Gao
Xiyu Ji
Mengya Wang
Taotao Zhou
Hengxu He
Jia Jia
Ning Hu
28
6
0
22 Nov 2022
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
Weijie Zhao
Xuewu Jiao
Xinsheng Luo
Jingxue Li
Belhal Karimi
Ping Li
43
2
0
26 Sep 2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through
  Rate Prediction Models
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models
Zhaorui Zhang
Xiang-Rong Sheng
Yujing Zhang
Biye Jiang
Shuguang Han
Hongbo Deng
Bo Zheng
CML
46
36
0
04 Sep 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
21
26
0
12 Aug 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
35
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
27
20
0
30 Mar 2022
1