ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.06978
  4. Cited By
Deep Interest Network for Click-Through Rate Prediction
v1v2v3v4 (latest)

Deep Interest Network for Click-Through Rate Prediction

21 June 2017
Guorui Zhou
Cheng-Ning Song
Xiaoqiang Zhu
Xi-Wang Dai
Ziru Xu
Xiao Ma
Yanghui Yan
Junqi Jin
Han Li
Kun Gai
ArXiv (abs)PDFHTML

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

50 / 616 papers shown
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural
  Predictions in Online Advertising
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online AdvertisingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Penghui Wei
Weimin Zhang
Ruijie Hou
Jinquan Liu
Shaoguo Liu
Liang Wang
Bo Zheng
184
11
0
15 May 2022
Aspect-based Analysis of Advertising Appeals for Search Engine
  Advertising
Aspect-based Analysis of Advertising Appeals for Search Engine AdvertisingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Soichiro Murakami
Peinan Zhang
Shochro Hoshino
Hidetaka Kamigaito
Hiroya Takamura
Manabu Okumura
187
8
0
25 Apr 2022
Continuous-Time User Preference Modelling for Temporal Sets Prediction
Continuous-Time User Preference Modelling for Temporal Sets PredictionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Le Yu
Zihang Liu
Leilei Sun
Bowen Du
T. Zhu
Weifeng Lv
259
9
0
12 Apr 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 SystemsIEEE International Conference on Data Engineering (ICDE), 2022
Yuanxing Zhang
Langshi Chen
Siran Yang
Man Yuan
Hui-juan Yi
...
Yong Li
Dingyang Zhang
Jialin Li
Lin Qu
Bo Zheng
180
36
0
11 Apr 2022
Research on Cross-media Science and Technology Information Data Retrieval
Yang Jiang
Zhe Xue
Ang Li
124
1
0
11 Apr 2022
CARCA: Context and Attribute-Aware Next-Item Recommendation via
  Cross-Attention
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-AttentionACM Conference on Recommender Systems (RecSys), 2022
Ahmed Rashed
Shereen Elsayed
Lars Schmidt-Thieme
117
82
0
04 Apr 2022
ESCM$^2$: Entire Space Counterfactual Multi-Task Model for Post-Click
  Conversion Rate Estimation
ESCM2^22: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate EstimationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Hao Wang
Tai-Wei Chang
Tianqiao Liu
Jia-Bin Huang
Zhichao Chen
Chao-hui Yu
Ruopeng Li
Wei Chu
227
108
0
03 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads
  Allocation with Multiple Auxiliary Tasks
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary TasksInternational Conference on Information and Knowledge Management (CIKM), 2022
Zehua Wang
Guogang Liao
Xiaowen Shi
Xiaoxu Wu
Wei Shen
Yongkang Wang
Xingxing Wang
Dong Wang
OffRL
226
7
0
02 Apr 2022
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
Rethinking Position Bias Modeling with Knowledge Distillation for CTR
  Prediction
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction
Congcong Liu
Yuejiang Li
Jian Zhu
Xiwei Zhao
Changping Peng
Zhangang Lin
Jingping Shao
101
5
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
164
3
0
01 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate
  Prediction
APG: Adaptive Parameter Generation Network for Click-Through Rate PredictionNeural Information Processing Systems (NeurIPS), 2022
Bencheng Yan
Pengjie Wang
Kai Zhang
Feng Li
Hongbo Deng
Jian Xu
Bo Zheng
275
26
0
30 Mar 2022
BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream
  Models
BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models
Arnab Chakraborty
Vikas Raturi
Shrutendra Harsola
215
3
0
30 Mar 2022
Learning Self-Modulating Attention in Continuous Time Space with
  Applications to Sequential Recommendation
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential RecommendationInternational Conference on Machine Learning (ICML), 2022
Chao Chen
Haoyu Geng
Nianzu Yang
Junchi Yan
Daiyue Xue
Jianping Yu
Xiaokang Yang
HAIAI4TS
140
12
0
30 Mar 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
piRank: A Probabilistic Intent Based Ranking Framework for Facebook
  Search
piRank: A Probabilistic Intent Based Ranking Framework for Facebook Search
Zhen Liao
FedML
30
1
0
27 Mar 2022
Multi-view Multi-behavior Contrastive Learning in Recommendation
Multi-view Multi-behavior Contrastive Learning in RecommendationInternational Conference on Database Systems for Advanced Applications (DASFAA), 2022
Yiqing Wu
Ruobing Xie
Yongchun Zhu
Xiang Ao
Xin Chen
Xu-Yao Zhang
Fuzhen Zhuang
Leyu Lin
Qing He
205
107
0
20 Mar 2022
Meta-Learning for Online Update of Recommender Systems
Meta-Learning for Online Update of Recommender SystemsAAAI Conference on Artificial Intelligence (AAAI), 2022
Minseok Kim
Hwanjun Song
Yooju Shin
Dongmin Park
Kijung Shin
Jae-Gil Lee
KELM
177
25
0
19 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
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale
  Click-Through Rate Prediction
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction
Buyun Zhang
Liangchen Luo
Xi Liu
Jay Li
Zeliang Chen
...
Yasmine Badr
Jongsoo Park
Jiyan Yang
Dheevatsa Mudigere
Ellie Wen
3DV
154
12
0
11 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
129
13
0
21 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
Approximate Nearest Neighbor Search under Neural Similarity Metric for
  Large-Scale Recommendation
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2022
Rihan Chen
Yinan Han
Ziru Xu
Yao Wang
Qi Li
...
Q. hua
Junliang Jiang
Yunlong Xu
Hongbo Deng
Bo Zheng
192
37
0
14 Feb 2022
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via
  Label Correction
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label CorrectionThe Web Conference (WWW), 2022
Yu Chen
Jiaqi Jin
Hui Zhao
Pengjie Wang
Guojun Liu
Jian Xu
Bo Zheng
149
25
0
14 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
135
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
42
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
179
9
0
24 Jan 2022
Fast Transient Stability Prediction Using Grid-informed Temporal and
  Topological Embedding Deep Neural Network
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural NetworkJournal of Modern Power Systems and Clean Energy (JMPSCE), 2022
Peiyuan Sun
L. Huo
Yaning Tan
Xin Chen
134
10
0
23 Jan 2022
Building a Performance Model for Deep Learning Recommendation Model
  Training on GPUs
Building a Performance Model for Deep Learning Recommendation Model Training on GPUsInternational Conference on High Performance Computing (HiPC), 2022
Zhongyi Lin
Louis Feng
E. K. Ardestani
Jaewon Lee
J. Lundell
Changkyu Kim
A. Kejariwal
John Douglas Owens
144
20
0
19 Jan 2022
Continual Learning for CTR Prediction: A Hybrid Approach
Continual Learning for CTR Prediction: A Hybrid Approach
Ke Hu
Yi Qi
Jianqiang Huang
Jia Cheng
Jun Lei
137
7
0
18 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
214
77
0
18 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational
  Embedding Learning Framework
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning FrameworkThe Web Conference (WWW), 2022
Xiaoxiao Xu
Chen Yang
Qian Yu
Zhiwei Fang
Jiaxing Wang
Chaosheng Fan
Yang He
Changping Peng
Zhangang Lin
Jingping Shao
CML
161
39
0
17 Jan 2022
Communication-Efficient TeraByte-Scale Model Training Framework for
  Online Advertising
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising
Weijie Zhao
Xuewu Jiao
Mingqing Hu
Xiaoyun Li
Xinming Zhang
Ping Li
3DV
175
8
0
05 Jan 2022
Modeling Users' Behavior Sequences with Hierarchical Explainable Network
  for Cross-domain Fraud Detection
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud DetectionThe Web Conference (WWW), 2020
Yongchun Zhu
Dongbo Xi
Bowen Song
Fuzhen Zhuang
Shuai Chen
Xi Gu
Qing He
178
66
0
04 Jan 2022
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
165
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
363
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
299
13
0
21 Dec 2021
D-HAN: Dynamic News Recommendation with Hierarchical Attention Network
D-HAN: Dynamic News Recommendation with Hierarchical Attention NetworkExpert systems with applications (ESWA), 2021
Qinghua Zhao
HAI
241
5
0
19 Dec 2021
Improving Conversational Recommendation Systems' Quality with
  Context-Aware Item Meta Information
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information
Bowen Yang
Cong Han
Yu Li
Lei Zuo
Zhou Yu
224
60
0
15 Dec 2021
HET: Scaling out Huge Embedding Model Training via Cache-enabled
  Distributed Framework
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
Xupeng Miao
Hailin Zhang
Yining Shi
Xiaonan Nie
Zhi-Xin Yang
Yangyu Tao
Tengjiao Wang
167
68
0
14 Dec 2021
A General Framework for Debiasing in CTR Prediction
A General Framework for Debiasing in CTR Prediction
Wenjie Chu
Shen Li
Chao Chen
Longfei Xu
Hengbin Cui
Kaikui Liu
CML
143
6
0
06 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
57
0
0
05 Dec 2021
HeterPS: Distributed Deep Learning With Reinforcement Learning Based
  Scheduling in Heterogeneous Environments
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous EnvironmentsFuture generations computer systems (FGCS), 2021
Ji Liu
Zhihua Wu
Dianhai Yu
Yanjun Ma
Danlei Feng
Minxu Zhang
Xinxuan Wu
Xuefeng Yao
Dejing Dou
250
62
0
20 Nov 2021
Online Advertising Revenue Forecasting: An Interpretable Deep Learning
  Approach
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
Maximilian Würfel
Qiwei Han
Maximilian Kaiser
AI4TS
99
10
0
16 Nov 2021
Session-aware Item-combination Recommendation with Transformer Network
Session-aware Item-combination Recommendation with Transformer Network
Tzu-Heng Lin
Chen Gao
LMTD
99
0
0
13 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AIIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
390
145
0
11 Nov 2021
Previous
123...789...111213
Next
Page 8 of 13
Pageof 13