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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"

50 / 61 papers shown
Title
A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer
A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer
Junting Wang
Praneet Rathi
Hari Sundaram
HAIVLM
37
5
0
01 Jul 2025
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
Lei Guo
Chenlong Song
Feng Guo
Xiaohui Han
Xiaojun Chang
Lei Zhu
33
0
0
25 May 2025
Mini-Game Lifetime Value Prediction in WeChat
Mini-Game Lifetime Value Prediction in WeChat
Aochuan Chen
Yifan Niu
Ziqi Gao
Yujie Sun
Shoujun Liu
Gong Chen
Yang Liu
Jia Li
28
0
0
21 May 2025
Zero-Shot Cross-Domain Code Search without Fine-Tuning
Zero-Shot Cross-Domain Code Search without Fine-Tuning
Keyu Liang
Ziqiang Liu
Chao Liu
Zhiyuan Wan
David Lo
Xiaohu Yang
63
0
0
10 Apr 2025
CHIME: A Compressive Framework for Holistic Interest Modeling
CHIME: A Compressive Framework for Holistic Interest Modeling
Yong Bai
Rui Xiang
Kaiyuan Li
Yongxiang Tang
Yanhua Cheng
Xialong Liu
Peng Jiang
Kun Gai
64
1
0
09 Apr 2025
A Convex Formulation of Game-theoretic Hierarchical Routing
A Convex Formulation of Game-theoretic Hierarchical Routing
Dong Ho Lee
Kaitlyn Donnel
Max Z. Li
David Fridovich-Keil
138
1
0
18 Mar 2025
Joint Modeling in Recommendations: A Survey
Joint Modeling in Recommendations: A Survey
Xiangyu Zhao
Yichao Wang
Bo Chen
Jingtong Gao
Yuhao Wang
Xiaopeng Li
Pengyue Jia
Qiang Liu
Huifeng Guo
Ruiming Tang
85
0
0
28 Feb 2025
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
146
20
0
20 Feb 2025
Pre-train and Fine-tune: Recommenders as Large Models
Pre-train and Fine-tune: Recommenders as Large Models
Zhenhao Jiang
Chong Chen
Hao Feng
Yu Yang
Jin Liu
Jie Zhang
Jia Jia
Ning Hu
90
0
0
24 Jan 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
147
2
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
143
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
87
4
0
14 Nov 2024
Enhancing CTR Prediction in Recommendation Domain with Search Query
  Representation
Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
Yuening Wang
M. Chen
Yaochen Hu
Wei Guo
Yingxue Zhang
Huifeng Guo
Yong Liu
Mark Coates
61
1
0
28 Oct 2024
GPRec: Bi-level User Modeling for Deep Recommenders
GPRec: Bi-level User Modeling for Deep Recommenders
Yejing Wang
Dong Xu
Xiangyu Zhao
Zhiren Mao
Peng Xiang
Ling Yan
Yao Hu
Zijian Zhang
Xuetao Wei
Qiang Liu
98
4
0
28 Oct 2024
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization
  in CTR Prediction
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
Wenhao Li
Jie Zhou
Chuan Luo
Chao Tang
Kun Zhang
Shixiong Zhao
103
0
0
03 Aug 2024
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain
  Recommendation
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
Lei Huang
Weitao Li
Chenrui Zhang
Jinpeng Wang
Xianchun Yi
Sheng Chen
62
2
0
29 Jul 2024
Enhancing Taobao Display Advertising with Multimodal Representations:
  Challenges, Approaches and Insights
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
Xiang-Rong Sheng
Feifan Yang
Litong Gong
Biao Wang
Zhangming Chan
...
Tiezheng Ge
Ziru Xu
Yuning Jiang
Jian Xu
Bo Zheng
98
4
0
28 Jul 2024
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework
  for Cross-Domain Recommendation
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
Chaoqun Hou
Yuanhang Zhou
Yi Cao
Tong Liu
86
2
0
02 Jul 2024
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
Yuhao Wang
Yichao Wang
Zichuan Fu
Xiangyang Li
Xiangyu Zhao
Huifeng Guo
Ruiming Tang
76
14
0
18 Jun 2024
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in
  Advertising
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
Ruize Wang
Hui Xu
Ying Cheng
Qi He
Xing Zhou
Rui Feng
Wei Xu
Lei Huang
Jie Jiang
77
2
0
15 Jun 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
199
3
0
21 May 2024
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation
  Framework
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
Zijian Zhang
Shuchang Liu
Jiaao Yu
Qingpeng Cai
Xiangyu Zhao
...
Qidong Liu
Hongwei Zhao
Lantao Hu
Peng Jiang
Kun Gai
99
22
0
29 Apr 2024
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User
  Behavior Representation to the Scenario Context
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Moyu Zhang
Yong Tang
Jinxin Hu
Yu Zhang
AI4TS
93
1
0
15 Apr 2024
Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature
  Extraction and Personalized Integration Framework
Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
Dongbo Xi
Zhen Chen
Yuexian Wang
He Cui
Chong Peng
Fuzhen Zhuang
Peng Yan
85
0
0
12 Apr 2024
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion
  Rate Prediction with a Single Model
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
Wentao Ouyang
Xiuwu Zhang
Chao Guo
Shukui Ren
Yupei Sui
...
Jinmei Luo
Yunfeng Chen
Dongbo Xu
Xiangzheng Liu
Yanlong Du
42
3
0
26 Mar 2024
Role Prompting Guided Domain Adaptation with General Capability Preserve
  for Large Language Models
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
Rui Wang
Fei Mi
Yi Chen
Boyang Xue
Hongru Wang
Qi Zhu
Kam-Fai Wong
Rui-Lan Xu
CLL
68
7
0
05 Mar 2024
Ads Recommendation in a Collapsed and Entangled World
Ads Recommendation in a Collapsed and Entangled World
Junwei Pan
Wei Xue
Ximei Wang
Haibin Yu
Xun Liu
Shijie Quan
Xueming Qiu
Dapeng Liu
Lei Xiao
Jie Jiang
101
9
0
22 Feb 2024
Domain-Aware Cross-Attention for Cross-domain Recommendation
Domain-Aware Cross-Attention for Cross-domain Recommendation
Yuhao Luo
Shiwei Ma
Mingjun Nie
Changping Peng
Zhangang Lin
Jingping Shao
Qianfang Xu
23
1
0
22 Jan 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
18
0
0
28 Dec 2023
Robust Representation Learning for Unified Online Top-K Recommendation
Robust Representation Learning for Unified Online Top-K Recommendation
Minfang Lu
Yuchen Jiang
Huihui Dong
Qi Li
Xinhang Li
...
Hao Hu
Ziru Xu
Yuning Jiang
Jian Xu
Bo Zheng
CML
70
0
0
24 Oct 2023
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task
  Medical Applications
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
Qidong Liu
Xian Wu
Xiangyu Zhao
Yuanshao Zhu
Derong Xu
Feng Tian
Yefeng Zheng
MoE
113
76
0
21 Oct 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
108
12
0
16 Oct 2023
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Ximei Wang
Junwei Pan
Xingzhuo Guo
Dapeng Liu
Jie Jiang
OOD
66
3
0
19 Sep 2023
An Unified Search and Recommendation Foundation Model for Cold-Start
  Scenario
An Unified Search and Recommendation Foundation Model for Cold-Start Scenario
Yuqi Gong
Xichen Ding
Yehui Su
Kaiming Shen
Zhongyi Liu
Guannan Zhang
LRM
131
26
0
16 Sep 2023
Multi-domain Recommendation with Embedding Disentangling and Domain
  Alignment
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment
Wentao Ning
Xiao Yan
Weiwen Liu
R. Cheng
Rui Zhang
Bo Tang
98
21
0
10 Aug 2023
Multi-Scenario Ranking with Adaptive Feature Learning
Multi-Scenario Ranking with Adaptive Feature Learning
Yu Tian
Bofang Li
Si Chen
Xubin Li
Hongbo Deng
Jian Xu
Bo Zheng
Qian Wang
Chenliang Li
75
11
0
29 Jun 2023
A Collaborative Transfer Learning Framework for Cross-domain
  Recommendation
A Collaborative Transfer Learning Framework for Cross-domain Recommendation
Wei Emma Zhang
Peng Zhang
Bo Zhang
Xingxing Wang
Dong Wang
60
18
0
26 Jun 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
83
14
0
06 Jun 2023
Task Relation-aware Continual User Representation Learning
Task Relation-aware Continual User Representation Learning
Sein Kim
Namkyeong Lee
Donghyun Kim
Min-Chul Yang
Chanyoung Park
CLL
73
8
0
01 Jun 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel
  Historical Data Reuse Approach
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Zhangming Chan
Yu Zhang
Shuguang Han
Yong Bai
Xiang-Rong Sheng
...
Jiacen Hu
Baolin Liu
Yuning Jiang
Jian Xu
Bo Zheng
75
11
0
22 May 2023
Exploring and Exploiting Data Heterogeneity in Recommendation
Exploring and Exploiting Data Heterogeneity in Recommendation
Zimu Wang
Jiashuo Liu
Hao Zou
Xingxuan Zhang
Yue He
Dongxu Liang
Peng Cui
84
2
0
21 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
70
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
118
25
0
10 Mar 2023
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain
  Recommendation
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation
Alejandro Ariza-Casabona
Bartlomiej Twardowski
Tri Kurniawan Wijaya
80
5
0
12 Feb 2023
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
Shanlei Mu
Penghui Wei
Wayne Xin Zhao
Shaoguo Liu
Liangji Wang
Bo Zheng
65
4
0
06 Feb 2023
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation
  Models
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models
Geet Sethi
Pallab Bhattacharya
Dhruv Choudhary
Carole-Jean Wu
Christos Kozyrakis
79
5
0
08 Jan 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
97
8
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
87
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
70
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
112
38
0
04 Sep 2022
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