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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
Alternate Model Growth and Pruning for Efficient Training of
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Bhargav Bhushanam
Jiecao Yu
Dhruv Choudhary
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Sherman Wong
Louis Feng
Jongsoo Park
Yu Cao
A. Kejariwal
158
7
0
04 May 2021
Real Negatives Matter: Continuous Training with Real Negatives for
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Siyu Gu
Xiang-Rong Sheng
Ying Fan
Guorui Zhou
Xiaoqiang Zhu
205
31
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
309
62
0
28 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
126
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
129
45
0
20 Apr 2021
Understanding Chinese Video and Language via Contrastive Multimodal
  Pre-Training
Understanding Chinese Video and Language via Contrastive Multimodal Pre-TrainingACM Multimedia (ACM MM), 2021
Chenyi Lei
Shixian Luo
Yong Liu
Wanggui He
Jiamang Wang
Guoxin Wang
Haihong Tang
Chunyan Miao
Houqiang Li
163
47
0
19 Apr 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
113
8
0
18 Feb 2021
Training Large-Scale News Recommenders with Pretrained Language Models
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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
STAN: Spatio-Temporal Attention Network for Next Location Recommendation
STAN: Spatio-Temporal Attention Network for Next Location RecommendationThe Web Conference (WWW), 2021
Yingtao Luo
Qiang Liu
Zhaocheng Liu
HAIAI4TS
236
398
0
08 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
587
235
0
27 Jan 2021
User Response Prediction in Online Advertising
User Response Prediction in Online AdvertisingACM Computing Surveys (CSUR), 2021
Zhabiz Gharibshah
Xingquan Zhu
OffRL
261
64
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
153
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
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
321
35
0
06 Dec 2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware
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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
412
19
0
25 Nov 2020
RRCN: A Reinforced Random Convolutional Network based Reciprocal
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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
113
3
0
25 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
148
22
0
24 Nov 2020
A Tunnel Gaussian Process Model for Learning Interpretable Flight's
  Landing Parameters
A Tunnel Gaussian Process Model for Learning Interpretable Flight's Landing Parameters
Sim Kuan Goh
N. P. Singh
Zhi Jun Lim
Sameer Alam
261
9
0
18 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
282
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
235
123
0
11 Nov 2020
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation
  System with Non-Stationary Data
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data
Mao Ye
Dhruv Choudhary
Jiecao Yu
Ellie Wen
Zeliang Chen
Jiyan Yang
Jongsoo Park
Qiang Liu
A. Kejariwal
198
9
0
16 Oct 2020
MicroRec: Efficient Recommendation Inference by Hardware and Data
  Structure Solutions
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions
Wenqi Jiang
Zhen He
Shuai Zhang
Thomas B. Preußer
Kai Zeng
...
Tongxuan Liu
Yong Li
Jingren Zhou
Ce Zhang
Gustavo Alonso
175
7
0
12 Oct 2020
Cross-Stack Workload Characterization of Deep Recommendation Systems
Cross-Stack Workload Characterization of Deep Recommendation SystemsIEEE International Symposium on Workload Characterization (IISWC), 2020
Samuel Hsia
Udit Gupta
Mark Wilkening
Carole-Jean Wu
Gu-Yeon Wei
David Brooks
BDLGNNHAI
268
38
0
10 Oct 2020
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution
Yucheng Lin
Huiting Hong
Xiaoqing Yang
Xiaodi Yang
Pinghua Gong
Jieping Ye
GNN
124
1
0
09 Oct 2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Kalman Filtering Attention for User Behavior Modeling in CTR PredictionNeural Information Processing Systems (NeurIPS), 2020
Hu Liu
Jing Lu
Xiwei Zhao
Sulong Xu
Hao Peng
...
Zehua Zhang
Jian Li
Junsheng Jin
Yongjun Bao
Weipeng P. Yan
111
24
0
02 Oct 2020
FusionStitching: Boosting Memory Intensive Computations for Deep
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FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
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Pengzhan Zhao
Guoping Long
Feiwen Zhu
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Lansong Diao
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207
33
0
23 Sep 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction
BARS-CTR: Open Benchmarking for Click-Through Rate PredictionInternational Conference on Information and Knowledge Management (CIKM), 2020
Jieming Zhu
Jinyang Liu
Shuai Yang
Tao Gui
Xiuqiang He
434
161
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Accelerating Recommender Systems via Hardware "scale-in"
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Ravi Krishna
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246
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Boosting Retailer Revenue by Generated Optimized Combined Multiple
  Digital Marketing Campaigns
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99
1
0
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A Practical Incremental Method to Train Deep CTR Models
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Yichao Wang
Huifeng Guo
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148
37
0
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Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding
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Kyumin Lee
215
15
0
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Time-based Sequence Model for Personalization and Recommendation Systems
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T. Ishkhanov
Maxim Naumov
Xianjie Chen
Yan Zhu
Yuan Zhong
A. Azzolini
Chonglin Sun
Frank Jiang
Andrey Malevich
Liang Xiong
155
17
0
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A Deep Prediction Network for Understanding Advertiser Intent and
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A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
Liyi Guo
Rui Lu
Haoqi Zhang
Junqi Jin
Zhenzhe Zheng
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Haiyang Xu
Han Li
Wen-kai Lu
Jian Xu
Kun Gai
168
15
0
20 Aug 2020
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings
  for Sequential Recommendation
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S. Cho
Eunhyeok Park
S. Yoo
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190
77
0
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A Hierarchical User Intention-Habit Extract Network for Credit Loan
  Overdue Risk Detection
A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection
Hao Guo
Xintao Ren
Rongrong Wang
Zhun Cai
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83
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18 Aug 2020
Modeling the Field Value Variations and Field Interactions
  Simultaneously for Fraud Detection
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud DetectionAAAI Conference on Artificial Intelligence (AAAI), 2020
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Bowen Song
Fuzhen Zhuang
Yongchun Zhu
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Yuan Qi
Qing He
142
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MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate
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MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate PredictionInternational Conference on Information and Knowledge Management (CIKM), 2020
W. Ouyang
Xiuwu Zhang
Lei Zhao
Jinmei Luo
Yu Zhang
Heng Zou
Zhaojie Liu
Yanlong Du
151
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COLD: Towards the Next Generation of Pre-Ranking System
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MRIF: Multi-resolution Interest Fusion for Recommendation
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Dongbai Guo
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