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Deep Interest Evolution Network for Click-Through Rate Prediction
v1v2v3v4v5 (latest)

Deep Interest Evolution Network for Click-Through Rate Prediction

11 September 2018
Guorui Zhou
Na Mou
Ying Fan
Qi Pi
Weijie Bian
Chang Zhou
Xiaoqiang Zhu
Kun Gai
ArXiv (abs)PDFHTML

Papers citing "Deep Interest Evolution Network for Click-Through Rate Prediction"

50 / 374 papers shown
Deep Page-Level Interest Network in Reinforcement Learning for Ads
  Allocation
Deep Page-Level Interest Network in Reinforcement Learning for Ads AllocationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Guogang Liao
Xiaowen Shi
Zehua Wang
Xiaoxu Wu
Wei Shen
Yongkang Wang
Xingxing Wang
Dong Wang
164
16
0
01 Apr 2022
On the Adaptation to Concept Drift for CTR Prediction
On the Adaptation to Concept Drift for CTR Prediction
Congcong Liu
Yuejiang Li
Fei Teng
Xiwei Zhao
Changping Peng
Zhangang Lin
Jinghe Hu
Jingping Shao
163
3
0
01 Apr 2022
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate
  Prediction in E-commerce Search
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce SearchWeb Search and Data Mining (WSDM), 2022
Zhifang Fan
Dan Ou
Yulong Gu
Bairan Fu
Xiang Li
Wentian Bao
Xinyu Dai
Xiaoyi Zeng
Tao Zhuang
Qingwen Liu
128
30
0
29 Mar 2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale
  Personalized Recommendation
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized RecommendationInternational Symposium on High-Performance Computer Architecture (HPCA), 2022
Liu Ke
Udit Gupta
Mark Hempstead
Carole-Jean Wu
Hsien-Hsin S. Lee
Xuan Zhang
161
31
0
14 Mar 2022
A Unified Framework for Campaign Performance Forecasting in Online
  Display Advertising
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising
Jun Chen
Cheng Chen
Huayue Zhang
Qing Tan
141
2
0
24 Feb 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review
Click-Through Rate Prediction in Online Advertising: A Literature ReviewInformation Processing & Management (IPM), 2022
Yanwu Yang
Panyu Zhai
CML3DV
249
132
0
22 Feb 2022
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through
  Rate Prediction
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate PredictionInternational Conference on Information and Knowledge Management (CIKM), 2022
Sihao Hu
Yihan Cao
Yu Gong
Zhao Li
Yazheng Yang
Qingwen Liu
S. Ji
123
13
0
21 Feb 2022
What is Next when Sequential Prediction Meets Implicitly Hard
  Interaction?
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?International Conference on Information and Knowledge Management (CIKM), 2021
Kaixi Hu
Lin Li
Qing Xie
Jianquan Liu
Xiaohui Tao
168
22
0
14 Feb 2022
UserBERT: Modeling Long- and Short-Term User Preferences via
  Self-Supervision
UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision
Tianyu Li
Ali Cevahir
Derek Cho
Hao Gong
Duy Nguyen
B. Stenger
SSL
86
1
0
14 Feb 2022
Incremental user embedding modeling for personalized text classification
Incremental user embedding modeling for personalized text classificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Ruixue Lian
Chengyu Huang
Y. Tang
Qi Gu
Chengyuan Ma
Chenlei Guo
AI4TS
160
5
0
13 Feb 2022
Triangle Graph Interest Network for Click-through Rate Prediction
Triangle Graph Interest Network for Click-through Rate PredictionWeb Search and Data Mining (WSDM), 2022
Wensen Jiang
Yizhu Jiao
Qingqin Wang
Chuanming Liang
Lijie Guo
Yao Zhang
Zhijun Sun
Yun Xiong
Yangyong Zhu
130
21
0
06 Feb 2022
Deep Interest Highlight Network for Click-Through Rate Prediction in
  Trigger-Induced Recommendation
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced RecommendationThe Web Conference (WWW), 2022
Qi Shen
Hong Wen
Wanjie Tao
Jing Zhang
Fuyu Lv
Zulong Chen
Zhao Li
191
54
0
05 Feb 2022
Sequential Search with Off-Policy Reinforcement Learning
Sequential Search with Off-Policy Reinforcement LearningInternational Conference on Information and Knowledge Management (CIKM), 2021
Dadong Miao
Yanan Wang
Guoyu Tang
Lin Liu
Sulong Xu
Bo Long
Yun Xiao
Lingfei Wu
Yunjiang Jiang
OffRL
151
3
0
01 Feb 2022
Neighbour Interaction based Click-Through Rate Prediction via
  Graph-masked Transformer
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked TransformerAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Erxue Min
Yu Rong
Qifeng Bai
Yatao Bian
P. Zhao
Junzhou Huang
Da Luo
Kangyi Lin
Sophia Ananiadou
218
41
0
25 Jan 2022
RecShard: Statistical Feature-Based Memory Optimization for
  Industry-Scale Neural Recommendation
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural RecommendationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022
Geet Sethi
Bilge Acun
Niket Agarwal
Christos Kozyrakis
Caroline Trippel
Carole-Jean Wu
245
78
0
25 Jan 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme
  Model Personalization in Recommender Systems
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems
Renjie Gu
Chaoyue Niu
Yikai Yan
Fan Wu
Shaojie Tang
Rongfeng Jia
Chengfei Lyu
Guihai Chen
175
9
0
24 Jan 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 ModelingWeb Search and Data Mining (WSDM), 2022
Qianqian Zhang
Xinru Liao
Quanlian Liu
Jian Xu
Bo Zheng
213
77
0
18 Jan 2022
Supervised Contrastive Learning for Recommendation
Supervised Contrastive Learning for RecommendationKnowledge-Based Systems (KBS), 2022
Chun Yang
155
46
0
10 Jan 2022
Neural Hierarchical Factorization Machines for User's Event Sequence
  Analysis
Neural Hierarchical Factorization Machines for User's Event Sequence AnalysisAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Dongbo Xi
Fuzhen Zhuang
Bowen Song
Yongchun Zhu
Shuai Chen
Dan Hong
Tao Chen
Xi Gu
Qing He
157
18
0
31 Dec 2021
On the Overlooked Significance of Underutilized Contextual Features in
  Recent News Recommendation Models
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models
S. Cho
Hongjun Lim
Keunchan Park
S. Yoo
Eunhyeok Park
137
5
0
29 Dec 2021
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale
  Recommendation Scenarios
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation ScenariosAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Xiaofeng Pan
Ming Li
Jing Zhang
Keren Yu
Luping Wang
Hong Wen
Chengjun Mao
Bo Cao
156
9
0
27 Dec 2021
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 PredictionInternational Conference on Database Systems for Advanced Applications (DASFAA), 2021
Xiaofeng Pan
Yibin Shen
Jing Zhang
Xu He
Yang Huang
Hong Wen
Chengjun Mao
Bo Cao
357
2
0
27 Dec 2021
Adversarial Gradient Driven Exploration for Deep Click-Through Rate
  Prediction
Adversarial Gradient Driven Exploration for Deep Click-Through Rate PredictionKnowledge Discovery and Data Mining (KDD), 2021
Kailun Wu
Zhangming Chan
Weijie Bian
Lejian Ren
Shiming Xiang
Shuguang Han
Hongbo Deng
Bo Zheng
298
13
0
21 Dec 2021
Efficient Dynamic Graph Representation Learning at Scale
Efficient Dynamic Graph Representation Learning at Scale
Xinshi Chen
Yan Zhu
Haowen Xu
Mengya Liu
Liang Xiong
Muhan Zhang
Le Song
133
10
0
14 Dec 2021
Multiple Interest and Fine Granularity Network for User Modeling
Multiple Interest and Fine Granularity Network for User Modeling
Jiaxuan Xie
Jianxiong Wei
Q. Hua
Yu Zhang
AI4TS
56
0
0
05 Dec 2021
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders
  up to 100 Trillion Parameters
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion ParametersKnowledge Discovery and Data Mining (KDD), 2021
Xiangru Lian
Binhang Yuan
Xuefeng Zhu
Yulong Wang
Yongjun He
...
Lei Yuan
Hai-bo Yu
Sen Yang
Ce Zhang
Ji Liu
VLM
262
41
0
10 Nov 2021
Dynamic Parameterized Network for CTR Prediction
Dynamic Parameterized Network for CTR Prediction
Jian Zhu
Congcong Liu
Pei Wang
Xiwei Zhao
Guangpeng Chen
Junsheng Jin
Changping Peng
Zhangang Lin
Jingping Shao
208
2
0
09 Nov 2021
Differentiable NAS Framework and Application to Ads CTR Prediction
Differentiable NAS Framework and Application to Ads CTR Prediction
Ravi Krishna
Aravind Kalaiah
Bichen Wu
Maxim Naumov
Dheevatsa Mudigere
M. Smelyanskiy
Kurt Keutzer
186
8
0
25 Oct 2021
R4: A Framework for Route Representation and Route Recommendation
R4: A Framework for Route Representation and Route Recommendation
Ran Cheng
Chao Chen
Longfei Xu
Shen Li
Lei Wang
Hengbin Cui
Kaikui Liu
Xiaolong Li
AI4TS
176
4
0
20 Oct 2021
MultiHead MultiModal Deep Interest Recommendation Network
MultiHead MultiModal Deep Interest Recommendation Network
Ming-Hua Yang
Shaobo Li
Zhou Peng
Ansi Zhang
Yuanmeng Zhang
128
0
0
19 Oct 2021
Two-stage Voice Application Recommender System for Unhandled Utterances
  in Intelligent Personal Assistant
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant
Wei Xiao
Qian Hu
Thahir Mohamed
Zheng Gao
Xibin Gao
Radhika Arava
M. Abdelhady
144
3
0
19 Oct 2021
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender
  System
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System
Kai Wang
Zhene Zou
Minghao Zhao
Qilin Deng
Yue Shang
Yile Liang
Runze Wu
Xudong Shen
Tangjie Lyu
Changjie Fan
OffRL
323
12
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18 Oct 2021
PG$^2$Net: Personalized and Group Preferences Guided Network for Next
  Place Prediction
PG2^22Net: Personalized and Group Preferences Guided Network for Next Place Prediction
Huifeng Li
Bin Wang
Weipeng Wang
Menghan Wang
Yaohui Jin
Yanyan Xu
175
13
0
15 Oct 2021
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair
  Recommendation in Hundreds of Travel Scenarios
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios
Qi Shen
Wanjie Tao
Jing Zhang
Hong Wen
Zulong Chen
Quan Lu
232
88
0
13 Oct 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Yujie Pan
Jiangchao Yao
Bo Han
Kunyang Jia
Ya Zhang
Hongxia Yang
MQ
188
19
0
27 Sep 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction
Dynamic Sequential Graph Learning for Click-Through Rate Prediction
Yunfei Chu
Xiaofu Chang
Kunyang Jia
Jingzhen Zhou
Hongxia Yang
158
7
0
26 Sep 2021
Deep Exploration for Recommendation Systems
Deep Exploration for Recommendation SystemsACM Conference on Recommender Systems (RecSys), 2021
Zheqing Zhu
Benjamin Van Roy
300
15
0
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Context-aware Tree-based Deep Model for Recommender Systems
Context-aware Tree-based Deep Model for Recommender Systems
Daqing Chang
Jintao Liu
Xinhang Li
Han Li
Ziru Xu
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132
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22 Sep 2021
Interest-oriented Universal User Representation via Contrastive Learning
Interest-oriented Universal User Representation via Contrastive Learning
Qinghui Sun
Jie Gu
Bei Yang
Xiaoxiao Xu
Renjun Xu
Shangde Gao
Hong Liu
Huan Xu
SSLAI4TS
224
6
0
18 Sep 2021
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Qiwei Chen
Changhua Pei
Shanshan Lv
Chao Li
Junfeng Ge
Wenwu Ou
LRMCML3DV
132
105
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10 Aug 2021
Denoising User-aware Memory Network for Recommendation
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Zhiwei. Bian
Shaojun Zhou
Hao Xu
Qihong Yang
Zhenqi Sun
Junjie Tang
Guiquan Liu
Kaikui Liu
Xiaolong Li
HAIAI4TS
196
44
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12 Jul 2021
Context-aware Heterogeneous Graph Attention Network for User Behavior
  Prediction in Local Consumer Service Platform
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Peiyuan Zhu
Xiaofeng Wang
Zisen Sang
Aiquan Yuan
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83
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Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization
  in e-Commercial Sponsored Search
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Ziyu Guan
Hongchang Wu
Qingyu Cao
Hao Liu
Ziyu Guan
Sheng Li
Yilin Zhang
Guang Qiu
Jian Xu
Bo Zheng
128
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DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate
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Fengtong Xiao
Lin Li
Weinan Xu
Jingyu Zhao
Xiaofeng Yang
Jun Lang
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145
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PURS: Personalized Unexpected Recommender System for Improving User
  Satisfaction
PURS: Personalized Unexpected Recommender System for Improving User SatisfactionACM Conference on Recommender Systems (RecSys), 2020
Pan Li
Maofei Que
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Yao Hu
Alexander Tuzhilin
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05 Jun 2021
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate
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Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionKnowledge Discovery and Data Mining (KDD), 2021
Pan Li
Zhichao Jiang
Maofei Que
Yao Hu
Alexander Tuzhilin
LRM
130
66
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Learning to Rehearse in Long Sequence Memorization
Learning to Rehearse in Long Sequence MemorizationInternational Conference on Machine Learning (ICML), 2021
Zhu Zhang
Chang Zhou
Jianxin Ma
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99
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Low-Precision Hardware Architectures Meet Recommendation Model Inference
  at Scale
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Zhaoxia Deng
Deng
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P. T. P. Tang
Haixin Liu
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Changkyu Kim
Maxim Naumov
S. Naghshineh
M. Smelyanskiy
194
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Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate
  Prediction
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W. Ouyang
Xiuwu Zhang
Shukui Ren
Li Li
Kun Zhang
Jinmei Luo
Zhaojie Liu
Yanlong Du
114
55
0
19 May 2021
RecPipe: Co-designing Models and Hardware to Jointly Optimize
  Recommendation Quality and Performance
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and PerformanceMicro (MICRO), 2021
Udit Gupta
Samuel Hsia
J. Zhang
Mark Wilkening
Javin Pombra
Hsien-Hsin S. Lee
Gu-Yeon Wei
Carole-Jean Wu
David Brooks
256
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