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
AutoAttention: Automatic Field Pair Selection for Attention in User
  Behavior Modeling
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior ModelingIndustrial Conference on Data Mining (IDM), 2022
Zuowu Zheng
Xiaofeng Gao
Junwei Pan
Qicong Luo
Guihai Chen
Dapeng Liu
Jie Jiang
233
6
0
27 Oct 2022
Recommendation with User Active Disclosing Willingness
Recommendation with User Active Disclosing Willingness
Lei Wang
Xu Chen
Quanyu Dai
Zhenhua Dong
221
2
0
25 Oct 2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
Yucheng Ding
Chaoyue Niu
Fan Wu
Shaojie Tang
Chengfei Lyu
Guihai Chen
175
3
0
21 Oct 2022
Fine-Grained Session Recommendations in E-commerce using Deep
  Reinforcement Learning
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning
Diddigi Raghu Ram Bharadwaj
Lakshya Kumar
Saif Jawaid
Sreekanth Vempati
180
1
0
20 Oct 2022
Entire Space Counterfactual Learning: Tuning, Analytical Properties and
  Industrial Applications
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications
Hao Wang
Zhichao Chen
Jiajun Fan
Yuxin Huang
Weiming Liu
Xinggao Liu
CML
204
5
0
20 Oct 2022
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
Xu Yuan
Chengjun Xu
Qiwei Chen
Tao Zhuang
Hongjie Chen
Chong Li
AI4TS
250
0
0
19 Oct 2022
Deep Multi-Representation Model for Click-Through Rate Prediction
Deep Multi-Representation Model for Click-Through Rate PredictionIEEE International Joint Conference on Neural Network (IJCNN), 2022
Shereen Elsayed
Lars Schmidt-Thieme
3DV
167
3
0
18 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of
  Modern Recommender Systems
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Zhengbang Zhu
Rongjun Qin
Junjie Huang
Xinyi Dai
Yang Yu
Yong Yu
Weinan Zhang
145
2
0
11 Oct 2022
Kernel-based Substructure Exploration for Next POI Recommendation
Kernel-based Substructure Exploration for Next POI RecommendationIndustrial Conference on Data Mining (IDM), 2022
Wei Ju
Yifang Qin
Ziyue Qiao
Xiao Luo
Yifan Wang
Yanjie Fu
Ming Zhang
181
33
0
08 Oct 2022
Automatic Scene-based Topic Channel Construction System for E-Commerce
Automatic Scene-based Topic Channel Construction System for E-CommerceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Peng Lin
Yanyan Zou
Lingfei Wu
Mian Ma
Zhuoye Ding
Bo Long
194
0
0
06 Oct 2022
Intra-session Context-aware Feed Recommendation in Live Systems
Intra-session Context-aware Feed Recommendation in Live SystemsInternational Conference on Information and Knowledge Management (CIKM), 2022
Luo Ji
Gao Liu
Mingyang Yin
Hongxia Yang
124
0
0
30 Sep 2022
EasyRec: An easy-to-use, extendable and efficient framework for building
  industrial recommendation systems
EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systemsAAAI Conference on Artificial Intelligence (AAAI), 2022
Mengli Cheng
Yue Gao
Guoqiang Liu
Hongsheng Jin
Xiaowen Zhang
189
6
0
26 Sep 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
174
2
0
26 Sep 2022
Efficient Long Sequential User Data Modeling for Click-Through Rate
  Prediction
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction
Qiwei Chen
Yue Xu
Changhua Pei
Shanshan Lv
Tao Zhuang
Junfeng Ge
3DV
95
6
0
25 Sep 2022
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Tan Yu
Zhipeng Jin
Jie Liu
Yi Yang
Hongliang Fei
Ping Li
180
10
0
23 Sep 2022
Factual and Informative Review Generation for Explainable Recommendation
Factual and Informative Review Generation for Explainable RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2022
Zhouhang Xie
Sameer Singh
Julian McAuley
Bodhisattwa Prasad Majumder
248
34
0
12 Sep 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads
  Recommendation Models
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
Rohan Anil
S. Gadanho
Danya Huang
Nijith Jacob
Zhuoshu Li
...
Cristina Pop
Kevin Regan
G. Shamir
Rakesh Shivanna
Qiqi Yan
3DV
251
47
0
12 Sep 2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation
  Framework for Efficient Device Model Generalization
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model GeneralizationThe Web Conference (WWW), 2022
Zheqi Lv
Wenqiao Zhang
Shengyu Zhang
Kun Kuang
Feng Wang
...
Ruihao Zhang
Tao Shen
Hongxia Yang
Bengchin Ooi
Leilei Gan
336
64
0
12 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 ModelsInternational Conference on Information and Knowledge Management (CIKM), 2022
Zhaorui Zhang
Xiang-Rong Sheng
Yujing Zhang
Biye Jiang
Shuguang Han
Hongbo Deng
Bo Zheng
CML
210
50
0
04 Sep 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 PluggingInternational Conference on Information and Knowledge Management (CIKM), 2022
Yujing Zhang
Zhangming Chan
Shuhao Xu
Weijie Bian
Shuguang Han
Hongbo Deng
Bo Zheng
155
26
0
22 Aug 2022
Personalizing Intervened Network for Long-tailed Sequential User
  Behavior Modeling
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
Zheqi Lv
Feng Wang
Shengyu Zhang
Kun Kuang
Hongxia Yang
Leilei Gan
112
8
0
19 Aug 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid
  Model
Joint Optimization of Ranking and Calibration with Contextualized Hybrid ModelKnowledge Discovery and Data Mining (KDD), 2022
Xiang-Rong Sheng
Jingyue Gao
Yueyao Cheng
Siran Yang
Shuguang Han
Hongbo Deng
Yuning Jiang
Jian Xu
Bo Zheng
303
39
0
12 Aug 2022
Multi-Task Fusion via Reinforcement Learning for Long-Term User
  Satisfaction in Recommender Systems
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender SystemsKnowledge Discovery and Data Mining (KDD), 2022
Qihua Zhang
Junning Liu
Yuzhuo Dai
Yiyan Qi
Yifan Yuan
Kunlun Zheng
Fan Huang
Xianfeng Tan
OffRL
253
66
0
09 Aug 2022
Sparse Attentive Memory Network for Click-through Rate Prediction with
  Long Sequences
Sparse Attentive Memory Network for Click-through Rate Prediction with Long SequencesInternational Conference on Information and Knowledge Management (CIKM), 2022
Qianying Lin
Wen-Ji Zhou
Yanshi Wang
Qing Da
Qingguo Chen
Bing Wang
VLM
178
14
0
08 Aug 2022
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Exploration with Model Uncertainty at Extreme Scale in Real-Time BiddingACM Conference on Recommender Systems (RecSys), 2022
Jan Hartman
Davorin Kopic
69
2
0
03 Aug 2022
BERT4Loc: BERT for Location -- POI Recommender System
BERT4Loc: BERT for Location -- POI Recommender SystemFuture Internet (FI), 2022
Syed Raza Bashir
Shaina Raza
Vojislav B. Mišić
138
13
0
02 Aug 2022
Long Short-Term Preference Modeling for Continuous-Time Sequential
  Recommendation
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation
Huixuan Chi
Haonan Xu
Hao Xu
Mengya Liu
Mengdi Zhang
Yuji Yang
Qinfen Hao
Wei Wu
142
8
0
01 Aug 2022
JDRec: Practical Actor-Critic Framework for Online Combinatorial
  Recommender System
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender SystemAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Xin Zhao
Zhiwei Fang
Yuchen Guo
Changping Peng
Wenlong Chen
Changping Peng
105
0
0
27 Jul 2022
Incorporating Heterogeneous User Behaviors and Social Influences for
  Predictive Analysis
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive AnalysisIEEE Transactions on Big Data (TBD), 2022
Haobing Liu
Yanmin Zhu
Chunyang Wang
Jianyu Ding
Jiadi Yu
Feilong Tang
156
7
0
24 Jul 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using
  a Diverse Pool of Cloud Computing Instances
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing InstancesInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021
Baolin Li
Rohan Basu Roy
Tirthak Patel
V. Gadepally
K. Gettings
Devesh Tiwari
172
31
0
23 Jul 2022
The Impact of Feature Quantity on Recommendation Algorithm Performance:
  A Movielens-100K Case Study
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case StudyIrish Conference on Artificial Intelligence and Cognitive Science (IAICS), 2022
Lukas Wegmeth
90
4
0
13 Jul 2022
SPR:Supervised Personalized Ranking Based on Prior Knowledge for
  Recommendation
SPR:Supervised Personalized Ranking Based on Prior Knowledge for Recommendation
Chun Yang
Shicai Fan
OffRL
197
0
0
07 Jul 2022
Device-Cloud Collaborative Recommendation via Meta Controller
Device-Cloud Collaborative Recommendation via Meta ControllerKnowledge Discovery and Data Mining (KDD), 2022
Jiangchao Yao
Feng Wang
Xichen Ding
Shaohu Chen
Bo Han
Jingren Zhou
Hongxia Yang
257
21
0
07 Jul 2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
DIWIFT: Discovering Instance-wise Influential Features for Tabular DataThe Web Conference (WWW), 2022
Dugang Liu
Pengxiang Cheng
Hong Zhu
Xing Tang
Yanyu Chen
Xiaoting Wang
Weike Pan
Zhong Ming
Xiuqiang He
TDI
173
11
0
06 Jul 2022
Cooperative Retriever and Ranker in Deep Recommenders
Cooperative Retriever and Ranker in Deep RecommendersThe Web Conference (WWW), 2022
Xunpeng Huang
Defu Lian
Jin Chen
Liu Zheng
Xing Xie
Enhong Chen
VLMAI4TS
155
15
0
28 Jun 2022
Meta-Wrapper: Differentiable Wrapping Operator for User Interest
  Selection in CTR Prediction
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianwei Cao
Qianqian Xu
Zhiyong Yang
Qingming Huang
176
8
0
28 Jun 2022
Secure Forward Aggregation for Vertical Federated Neural Networks
Secure Forward Aggregation for Vertical Federated Neural Networks
Shuowei Cai
Di Chai
Liu Yang
Junxue Zhang
Yilun Jin
Leye Wang
Kun Guo
Kai Chen
FedML
165
11
0
28 Jun 2022
Toward An Optimal Selection of Dialogue Strategies: A Target-Driven
  Approach for Intelligent Outbound Robots
Toward An Optimal Selection of Dialogue Strategies: A Target-Driven Approach for Intelligent Outbound Robots
Ruifeng Qian
Shijie Li
Mengjiao Bao
Huan Chen
Yu Che
110
2
0
22 Jun 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction
PHN: Parallel heterogeneous network with soft gating for CTR predictionCAAI International Conference on Artificial Intelligence (ICCAI), 2022
Ri-Qi Su
Alphonse Houssou Hounye
Cong Cao
Muzhou Hou
265
1
0
18 Jun 2022
Learning Enhanced Representations for Tabular Data via Neighborhood
  Propagation
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation
Kounianhua Du
Weinan Zhang
Ruiwen Zhou
Yangkun Wang
Xilong Zhao
Jiarui Jin
Quan Gan
Zheng Zhang
David Wipf
AI4TS
143
9
0
14 Jun 2022
Recommender Transformers with Behavior Pathways
Recommender Transformers with Behavior PathwaysThe Web Conference (WWW), 2022
Zhiyu Yao
Xinyang Chen
Sinan Wang
Qinyan Dai
Yumeng Li
Tanchao Zhu
Mingsheng Long
204
9
0
13 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated
  Ensemble Learning
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Meisam Hejazinia
Dzmitry Huba
Ilias Leontiadis
Kiwan Maeng
Mani Malek
Luca Melis
Ilya Mironov
Milad Nasr
Kaikai Wang
Carole-Jean Wu
FedML
243
9
0
07 Jun 2022
DeeprETA: An ETA Post-processing System at Scale
DeeprETA: An ETA Post-processing System at Scale
Xinyu Hu
Tanmay Binaykiya
Eric C. Frank
Olcay Cirit
142
16
0
05 Jun 2022
Good Intentions: Adaptive Parameter Management via Intent Signaling
Good Intentions: Adaptive Parameter Management via Intent SignalingInternational Conference on Information and Knowledge Management (CIKM), 2022
Alexander Renz-Wieland
Andreas Kieslinger
R. Gericke
Rainer Gemulla
Zoi Kaoudi
Volker Markl
308
1
0
01 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the
  Inter-Dependence of System and Data Heterogeneity
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data HeterogeneityACM Conference on Recommender Systems (RecSys), 2022
Kiwan Maeng
Haiyu Lu
Luca Melis
John Nguyen
Michael G. Rabbat
Carole-Jean Wu
FedML
230
38
0
30 May 2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System
  for Device-Cloud Collaborative Machine Learning
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine LearningUSENIX Symposium on Operating Systems Design and Implementation (OSDI), 2022
Chengfei Lv
Chaoyue Niu
Renjie Gu
Xiaotang Jiang
Zhaode Wang
...
Guohuan Xu
Leilei Gan
Shaojie Tang
Fan Wu
Guihai Chen
MoELRM
155
50
0
30 May 2022
Efficient Federated Learning with Spike Neural Networks for Traffic Sign
  Recognition
Efficient Federated Learning with Spike Neural Networks for Traffic Sign RecognitionIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022
Kan Xie
Zhe Zhang
Bo Li
Jiawen Kang
Dusit Niyato
Shengli Xie
Yi Wu
151
73
0
28 May 2022
GBA: A Tuning-free Approach to Switch between Synchronous and
  Asynchronous Training for Recommendation Model
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation ModelNeural Information Processing Systems (NeurIPS), 2022
Yuchi Xu
Yuanxing Zhang
Yufeng Cai
Kaixu Ren
Pengjie Wang
...
Jing Chen
Hongbo Deng
Jian Xu
Lin Qu
Bo Zheng
173
5
0
23 May 2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR
  Prediction
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR PredictionInternational Conference on Information and Knowledge Management (CIKM), 2022
Yue Cao
Xiaojiang Zhou
Jiaqi Feng
Peihao Huang
Yao Xiao
Dayao Chen
Sheng Chen
284
66
0
20 May 2022
NMA: Neural Multi-slot Auctions with Externalities for Online
  Advertising
NMA: Neural Multi-slot Auctions with Externalities for Online Advertising
Guogang Liao
Xia Li
Ze Wang
Fan Yang
Muzhi Guan
Bingqi Zhu
Yongkang Wang
Xingxing Wang
Dong Wang
210
14
0
20 May 2022
Previous
123...678...111213
Next
Page 7 of 13
Pageof 13