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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
Data Leakage via Access Patterns of Sparse Features in Deep
  Learning-based Recommendation Systems
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
H. Hashemi
Wenjie Xiong
Liu Ke
Kiwan Maeng
M. Annavaram
G. E. Suh
Hsien-Hsin S. Lee
138
6
0
12 Dec 2022
DisaggRec: Architecting Disaggregated Systems for Large-Scale
  Personalized Recommendation
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation
Liu Ke
Xuan Zhang
Benjamin C. Lee
G. E. Suh
Hsien-Hsin S. Lee
139
10
0
02 Dec 2022
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep
  Learning Training
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training
D. Kadiyala
Saeed Rashidi
Taekyung Heo
Abhimanyu Bambhaniya
T. Krishna
Alexandros Daglis
VLM
173
11
0
30 Nov 2022
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
177
10
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 ServiceIEEE International Conference on Data Engineering (ICDE), 2022
Boya Du
Shaochuan Lin
Jiong Gao
Xiyu Ji
Mengya Wang
Taotao Zhou
Hengxu He
Jia Jia
Ning Hu
243
7
0
22 Nov 2022
Deep Intention-Aware Network for Click-Through Rate Prediction
Deep Intention-Aware Network for Click-Through Rate PredictionThe Web Conference (WWW), 2022
Yaxian Xia
Yinhao Cao
Sihao Hu
Tong Liu
Lingling Lu
127
6
0
16 Nov 2022
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and
  Inter-Image Attention Design
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design
Yikai Yan
Chaoyue Niu
Fan Wu
Qinya Li
Shaojie Tang
Chengfei Lyu
Guihai Chen
164
0
0
11 Nov 2022
iGniter: Interference-Aware GPU Resource Provisioning for Predictable
  DNN Inference in the Cloud
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the CloudIEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
Fei Xu
Jianian Xu
Jiabin Chen
Li Chen
Ruitao Shang
Zhi Zhou
Fengyuan Liu
GNN
157
50
0
03 Nov 2022
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines
  on Intel Xeon Processors
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors
Meenakshi Arunachalam
Vrushabh H. Sanghavi
Yiwu Yao
Y. Zhou
Lifeng Wang
Zongru Wen
Niroop S. Ammbashankar
Ning W Wang
Fahim Mohammad
79
1
0
01 Nov 2022
DisenPOI: Disentangling Sequential and Geographical Influence for
  Point-of-Interest Recommendation
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest RecommendationWeb Search and Data Mining (WSDM), 2022
Yifang Qin
Yifan Wang
Fang Sun
Wei Ju
Xuyang Hou
Zhe Wang
Jia Cheng
Jun Lei
Ming Zhang
218
77
0
29 Oct 2022
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
227
6
0
27 Oct 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal
  Treatment
Towards Out-of-Distribution Sequential Event Prediction: A Causal TreatmentNeural Information Processing Systems (NeurIPS), 2022
Chenxiao Yang
Qitian Wu
Qingsong Wen
Zhiqiang Zhou
Liang Sun
Junchi Yan
OODDOOD
239
34
0
24 Oct 2022
DIICAN: Dual Time-scale State-Coupled Co-estimation of SOC, SOH and RUL
  for Lithium-Ion Batteries
DIICAN: Dual Time-scale State-Coupled Co-estimation of SOC, SOH and RUL for Lithium-Ion Batteries
Ningbo Cai
Yuwen Qin
Xin Chen
Kai Wu
105
0
0
20 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
175
1
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
241
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
161
3
0
18 Oct 2022
KAIROS: Building Cost-Efficient Machine Learning Inference Systems with
  Heterogeneous Cloud Resources
KAIROS: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud ResourcesIEEE International Symposium on High-Performance Parallel Distributed Computing (HPDC), 2022
Baolin Li
S. Samsi
V. Gadepally
Devesh Tiwari
229
13
0
12 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
133
2
0
11 Oct 2022
Multi-Objective Personalized Product Retrieval in Taobao Search
Multi-Objective Personalized Product Retrieval in Taobao Search
Yukun Zheng
Jiang Bian
Guang-Xun Meng
Chao Zhang
Honggang Wang
Zhixuan Zhang
Sen-Yuan Li
Zhuang Tao
Qingwen Liu
Xiaoyi Zeng
116
15
0
09 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
168
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
188
0
0
06 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender
  Systems
DreamShard: Generalizable Embedding Table Placement for Recommender SystemsNeural Information Processing Systems (NeurIPS), 2022
Daochen Zha
Louis Feng
Qiaoyu Tan
Zirui Liu
Kwei-Herng Lai
Bhargav Bhushanam
Yuandong Tian
A. Kejariwal
Helen Zhou
LMTDOffRL
282
35
0
05 Oct 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
91
4
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
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
Rethinking Personalized Ranking at Pinterest: An End-to-End ApproachACM Conference on Recommender Systems (RecSys), 2022
Jiajing Xu
Andrew Zhai
Charles R. Rosenberg
203
23
0
18 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
200
47
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
148
26
0
22 Aug 2022
Understanding Scaling Laws for Recommendation Models
Understanding Scaling Laws for Recommendation Models
Newsha Ardalani
Carole-Jean Wu
Zeliang Chen
Bhargav Bhushanam
Adnan Aziz
165
47
0
17 Aug 2022
AutoShard: Automated Embedding Table Sharding for Recommender Systems
AutoShard: Automated Embedding Table Sharding for Recommender SystemsKnowledge Discovery and Data Mining (KDD), 2022
Daochen Zha
Louis Feng
Bhargav Bhushanam
Dhruv Choudhary
Jade Nie
Yuandong Tian
Jay Chae
Yi-An Ma
A. Kejariwal
Helen Zhou
168
33
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
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239
63
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
166
13
0
08 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
106
7
0
01 Aug 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
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K. Gettings
Devesh Tiwari
167
31
0
23 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
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193
0
0
07 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
140
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
168
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0
28 Jun 2022
Debiasing Learning for Membership Inference Attacks Against Recommender
  Systems
Debiasing Learning for Membership Inference Attacks Against Recommender SystemsKnowledge Discovery and Data Mining (KDD), 2022
Zihan Wang
Na Huang
Fei Sun
Sudipta Singha Roy
Zhumin Chen
Hengliang Luo
Maarten de Rijke
Zhaochun Ren
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241
28
0
24 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
217
1
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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
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David Wipf
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137
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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
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Hongbo Deng
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170
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Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR
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Yue Cao
Xiaojiang Zhou
Jiaqi Feng
Peihao Huang
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263
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PinnerFormer: Sequence Modeling for User Representation at Pinterest
PinnerFormer: Sequence Modeling for User Representation at PinterestKnowledge Discovery and Data Mining (KDD), 2022
Nikil Pancha
Andrew Zhai
J. Leskovec
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248
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Hybrid CNN Based Attention with Category Prior for User Image Behavior
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Hybrid CNN Based Attention with Category Prior for User Image Behavior ModelingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
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Qingtao Tang
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105
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User-Centric Conversational Recommendation with Multi-Aspect User
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Shuokai Li
Ruobing Xie
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233
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CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10
  minutes on 1 GPU
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPUAAAI Conference on Artificial Intelligence (AAAI), 2022
Zangwei Zheng
Peng Xu
Xuan Zou
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Xiangzhuo Ding
Fuzhao Xue
Ziheng Qing
Youlong Cheng
Yang You
VLM
334
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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
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Yong Li
Dingyang Zhang
Jialin Li
Lin Qu
Bo Zheng
175
36
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IA-GCN: Interactive Graph Convolutional Network for Recommendation
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Yinan Zhang
Pei Wang
Congcong Liu
Xiwei Zhao
Hao Qi
Changping Peng
Junsheng Jin
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Zhangang Lin
Jingping Shao
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128
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CARCA: Context and Attribute-Aware Next-Item Recommendation via
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Ahmed Rashed
Shereen Elsayed
Lars Schmidt-Thieme
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A Comprehensive Survey on Automated Machine Learning for Recommendations
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Bo Chen
Xiangyu Zhao
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344
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