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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
Real Negatives Matter: Continuous Training with Real Negatives for
  Delayed Feedback Modeling
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback ModelingKnowledge Discovery and Data Mining (KDD), 2021
Siyu Gu
Xiang-Rong Sheng
Ying Fan
Guorui Zhou
Xiaoqiang Zhu
205
33
0
29 Apr 2021
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple
  Accelerator Cores
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator CoresInternational Symposium on High-Performance Computer Architecture (HPCA), 2021
Sheng-Chun Kao
T. Krishna
322
62
0
28 Apr 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
418
397
0
27 Apr 2021
Represent Items by Items: An Enhanced Representation of the Target Item
  for Recommendation
Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation
Yinjiang Cai
Zeyu Cui
Shu Wu
Zhen Lei
Xibo Ma
65
3
0
26 Apr 2021
Deep Learning for Click-Through Rate Estimation
Deep Learning for Click-Through Rate EstimationInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Weinan Zhang
Jiarui Qin
Wei Guo
Ruiming Tang
Xiuqiang He
3DVHAI
256
127
0
21 Apr 2021
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task
  Learning for Conversion Rate Prediction
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Hong Wen
Jing Zhang
Fuyu Lv
Wentian Bao
Tianyi Wang
Zulong Chen
137
45
0
20 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models
  with Huge Embedding Table
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding TableAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Huifeng Guo
Wei Guo
Yong Gao
Ruiming Tang
Xiuqiang He
Wenzhi Liu
206
25
0
17 Apr 2021
Device-Cloud Collaborative Learning for Recommendation
Device-Cloud Collaborative Learning for RecommendationKnowledge Discovery and Data Mining (KDD), 2021
Jiangchao Yao
Feng Wang
Kunyang Jia
Bo Han
Jingren Zhou
Hongxia Yang
409
70
0
14 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate
  Feature Interaction Modelling
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction ModellingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Tong Chen
Hongzhi Yin
Xiangliang Zhang
Zi Huang
Yang Wang
Meng Wang
307
14
0
05 Apr 2021
Graph Intention Network for Click-through Rate Prediction in Sponsored
  Search
Graph Intention Network for Click-through Rate Prediction in Sponsored SearchAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Feng Li
Zhenrui Chen
Pengjie Wang
Yi Ren
Di Zhang
Xiaoyu Zhu
GNN
127
68
0
30 Mar 2021
Diversity Regularized Interests Modeling for Recommender Systems
Diversity Regularized Interests Modeling for Recommender Systems
Junmei Hao
Jingcheng Shi
Qing Da
Anxiang Zeng
Yujie Dun
Xueming Qian
Qianying Lin
80
1
0
23 Mar 2021
Dual Side Deep Context-aware Modulation for Social Recommendation
Dual Side Deep Context-aware Modulation for Social RecommendationThe Web Conference (WWW), 2021
Bairan Fu
Wenming Zhang
Guangneng Hu
Xinyu Dai
Shujian Huang
Jiajun Chen
148
54
0
16 Mar 2021
Computation Resource Allocation Solution in Recommender Systems
Computation Resource Allocation Solution in Recommender Systems
Xun Yang
Yunli Wang
Cheng Chen
Qing Tan
Chuan Yu
Jian Xu
Xiaoqiang Zhu
90
8
0
03 Mar 2021
Truncation-Free Matching System for Display Advertising at Alibaba
Truncation-Free Matching System for Display Advertising at Alibaba
Jin Li
Jie Liu
Shangzhou Li
Yao Xu
Ran Cao
...
Biye Jiang
Guan Wang
Ziru Xu
Kun Gai
Xiaoqiang Zhu
119
8
0
18 Feb 2021
Training Large-Scale News Recommenders with Pretrained Language Models
  in the Loop
Training Large-Scale News Recommenders with Pretrained Language Models in the LoopKnowledge Discovery and Data Mining (KDD), 2021
Shitao Xiao
Zheng Liu
Yingxia Shao
Tao Di
Xing Xie
VLMAIFin
300
52
0
18 Feb 2021
Sparse-Interest Network for Sequential Recommendation
Sparse-Interest Network for Sequential RecommendationWeb Search and Data Mining (WSDM), 2021
Qiaoyu Tan
Jianwei Zhang
Jiangchao Yao
Ninghao Liu
Jingren Zhou
Hongxia Yang
Helen Zhou
212
162
0
18 Feb 2021
Personalized Embedding-based e-Commerce Recommendations at eBay
Personalized Embedding-based e-Commerce Recommendations at eBay
Tiantian Wang
Y. Brovman
S. Madhvanath
204
30
0
11 Feb 2021
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing
Chengwei Zhang
Yangzhou Jiang
Wei Zhang
Chengyu Gu
160
7
0
30 Jan 2021
RecSSD: Near Data Processing for Solid State Drive Based Recommendation
  Inference
RecSSD: Near Data Processing for Solid State Drive Based Recommendation InferenceInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021
Mark Wilkening
Udit Gupta
Samuel Hsia
Caroline Trippel
Carole-Jean Wu
David Brooks
Gu-Yeon Wei
187
127
0
29 Jan 2021
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 PredictionInternational Conference on Information and Knowledge Management (CIKM), 2021
Xiang-Rong Sheng
Liqin Zhao
Guorui Zhou
Xinyao Ding
Binding Dai
...
Siran Yang
Jingshan Lv
Chi Zhang
Hongbo Deng
Xiaoqiang Zhu
LRM
589
237
0
27 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey
Advances and Challenges in Conversational Recommender Systems: A SurveyAI Open (AO), 2021
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
579
330
0
23 Jan 2021
TrNews: Heterogeneous User-Interest Transfer Learning for News
  Recommendation
TrNews: Heterogeneous User-Interest Transfer Learning for News RecommendationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Guangneng Hu
Qiang Yang
181
4
0
12 Jan 2021
User Response Prediction in Online Advertising
User Response Prediction in Online AdvertisingACM Computing Surveys (CSUR), 2021
Zhabiz Gharibshah
Xingquan Zhu
OffRL
261
66
0
07 Jan 2021
Multi-Channel Sequential Behavior Networks for User Modeling in Online
  Advertising
Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising
Iyad Batal
Akshay Soni
114
1
0
27 Dec 2020
AdnFM: An Attentive DenseNet based Factorization Machine for CTR
  Prediction
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction
Kai Wang
Chun-Yen Shen
Wenye Ma
AI4CE
175
3
0
20 Dec 2020
Scenario-aware and Mutual-based approach for Multi-scenario
  Recommendation in E-Commerce
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce
Yuting Chen
Yanshi Wang
Yabo Ni
Anxiang Zeng
Lanfen Lin
154
25
0
16 Dec 2020
Multi-Interactive Attention Network for Fine-grained Feature Learning in
  CTR Prediction
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR PredictionWeb Search and Data Mining (WSDM), 2020
Kai Zhang
Hao Qian
Daixin Wang
Qi Liu
Longfei Li
Jun Zhou
Jianhui Ma
Enhong Chen
HAI
126
56
0
13 Dec 2020
Exploiting Behavioral Consistence for Universal User Representation
Exploiting Behavioral Consistence for Universal User RepresentationAAAI Conference on Artificial Intelligence (AAAI), 2020
Jie Gu
Feng Wang
Qinghui Sun
Zhiquan Ye
Xiaoxiao Xu
Jingmin Chen
Jun Zhang
184
31
0
11 Dec 2020
Capturing Delayed Feedback in Conversion Rate Prediction via
  Elapsed-Time Sampling
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time SamplingAAAI Conference on Artificial Intelligence (AAAI), 2020
Jia-Qi Yang
Xiang Li
Shuguang Han
Tao Zhuang
De-Chuan Zhan
Xiaoyi Zeng
Bin Tong
328
37
0
06 Dec 2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware
  Learning
Exploration in Online Advertising Systems with Deep Uncertainty-Aware LearningKnowledge Discovery and Data Mining (KDD), 2020
Chao Du
Zhifeng Gao
Shuo Yuan
Lining Gao
Z. Li
Yifan Zeng
Xiaoqiang Zhu
Jian Xu
Kun Gai
Kuang-chih Lee
413
19
0
25 Nov 2020
RRCN: A Reinforced Random Convolutional Network based Reciprocal
  Recommendation Approach for Online Dating
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
Linhao Luo
Liqi Yang
Ju Xin
Yixiang Fang
Xiaofeng Zhang
Xiaofei Yang
Kai Chen
Zhiyuan Zhang
Kai Liu
114
3
0
25 Nov 2020
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network
Junyou He
Guibao Mei
Feng Xing
Xiaorui Yang
Yongjun Bao
Weipeng P. Yan
97
7
0
24 Nov 2020
Delayed Feedback Modeling for the Entire Space Conversion Rate
  Prediction
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
Yanshi Wang
Jie Zhang
Qing Da
Anxiang Zeng
158
23
0
24 Nov 2020
CAN: Feature Co-Action for Click-Through Rate Prediction
CAN: Feature Co-Action for Click-Through Rate Prediction
Weijie Bian
Kailun Wu
Lejian Ren
Qi Pi
Yujing Zhang
...
Xinchen Luo
Shiming Xiang
Guorui Zhou
Xiaoqiang Zhu
Hongbo Deng
291
10
0
11 Nov 2020
Understanding Training Efficiency of Deep Learning Recommendation Models
  at Scale
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
Bilge Acun
Matthew Murphy
Xiaodong Wang
Jade Nie
Carole-Jean Wu
K. Hazelwood
241
123
0
11 Nov 2020
Ensemble Knowledge Distillation for CTR Prediction
Ensemble Knowledge Distillation for CTR Prediction
Jieming Zhu
Jinyang Liu
Weiqi Li
Jincai Lai
Xiuqiang He
Liang Chen
Zibin Zheng
286
61
0
08 Nov 2020
Adversarial Counterfactual Learning and Evaluation for Recommender
  System
Adversarial Counterfactual Learning and Evaluation for Recommender System
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
OffRLCML
179
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CPR: Understanding and Improving Failure Tolerant Training for Deep
  Learning Recommendation with Partial Recovery
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
Kiwan Maeng
Shivam Bharuka
Isabel Gao
M. C. Jeffrey
V. Saraph
...
Caroline Trippel
Jiyan Yang
Michael G. Rabbat
Brandon Lucia
Carole-Jean Wu
OffRL
260
41
0
05 Nov 2020
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Michael Lui
Yavuz Yetim
Özgür Özkan
Zhuoran Zhao
Shin-Yeh Tsai
Carole-Jean Wu
Mark Hempstead
GNNBDLLRM
293
57
0
04 Nov 2020
Multimodal Topic Learning for Video Recommendation
Multimodal Topic Learning for Video Recommendation
Shi Pu
Yijiang He
Zheng Li
Mao Zheng
107
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26 Oct 2020
Basket Recommendation with Multi-Intent Translation Graph Neural Network
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Zhiwei Liu
Xiaohan Li
Ziwei Fan
Stephen D. Guo
Kannan Achan
Philip S. Yu
220
50
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22 Oct 2020
Learning Transferrable Parameters for Long-tailed Sequential User
  Behavior Modeling
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling
Jianwen Yin
Chenghao Liu
Weiqing Wang
Jianling Sun
Guosheng Lin
149
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PrivNet: Safeguarding Private Attributes in Transfer Learning for
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Guangneng Hu
Qiang Yang
130
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TriNE: Network Representation Learning for Tripartite Heterogeneous
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65
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MicroRec: Efficient Recommendation Inference by Hardware and Data
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Shuai Zhang
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Cross-Stack Workload Characterization of Deep Recommendation Systems
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Mark Wilkening
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Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution
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Huiting Hong
Xiaoqing Yang
Xiaodi Yang
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Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
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Hu Liu
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Zehua Zhang
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AliMe KG: Domain Knowledge Graph Construction and Application in
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div2vec: Diversity-Emphasized Node Embedding
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