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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
Pairwise Interactive Graph Attention Network for Context-Aware
  Recommendation
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
Yahui Liu
S. Furao
Jian Zhao
80
5
0
18 Nov 2019
FLEN: Leveraging Field for Scalable CTR Prediction
FLEN: Leveraging Field for Scalable CTR Prediction
Wenqiang Chen
Lizhang Zhan
Yuanlong Ci
Minghua Yang
Chen Lin
Dugang Liu
245
26
0
12 Nov 2019
Sequential Recommendation with Dual Side Neighbor-based Collaborative
  Relation Modeling
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation ModelingWeb Search and Data Mining (WSDM), 2019
Jiarui Qin
Kan Ren
Yuchen Fang
Weinan Zhang
Yong Yu
133
41
0
10 Nov 2019
Sequence-Aware Factorization Machines for Temporal Predictive Analytics
Sequence-Aware Factorization Machines for Temporal Predictive AnalyticsIEEE International Conference on Data Engineering (ICDE), 2019
Tong Chen
Hongzhi Yin
Quoc Viet Hung Nguyen
Wen-Chih Peng
Xue Li
Xiaofang Zhou
197
78
0
07 Nov 2019
Secure Federated Submodel Learning
Secure Federated Submodel Learning
Chaoyue Niu
Fan Wu
Shaojie Tang
Lifeng Hua
Rongfei Jia
Chengfei Lv
Zhihua Wu
Guihai Chen
FedML
210
32
0
06 Nov 2019
Regularized Adversarial Sampling and Deep Time-aware Attention for
  Click-Through Rate Prediction
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate PredictionInternational Conference on Information and Knowledge Management (CIKM), 2019
Yikai Wang
Liang Zhang
Quanyu Dai
F. Sun
Bo Zhang
Yang He
Weipeng P. Yan
Yongjun Bao
OOD
108
14
0
03 Nov 2019
Algorithmic Copywriting: Automated Generation of Health-Related
  Advertisements to Improve their Performance
Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their PerformanceThe Web Conference (WWW), 2019
Brit Youngmann
Ran Gilad-Bachrach
D. Karmon
E. Yom-Tov
MedIm
254
9
0
27 Oct 2019
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate
  Estimation with Multi-task Learning
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task LearningThe Web Conference (WWW), 2019
Wenhao Zhang
Wentian Bao
Xiao-Yang Liu
Keping Yang
Quan Lin
Hong Wen
Ramin Ramezani
CML
266
114
0
16 Oct 2019
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition
  for Conversion Rate Prediction
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
Hong Wen
Jing Zhang
Yuan Wang
Fuyu Lv
Wentian Bao
Quan Lin
Keping Yang
198
9
0
15 Oct 2019
Conceptualize and Infer User Needs in E-commerce
Conceptualize and Infer User Needs in E-commerceInternational Conference on Information and Knowledge Management (CIKM), 2019
Xusheng Luo
Yanting Yang
Kenny Q. Zhu
Yu Gong
Keping Yang
154
15
0
08 Oct 2019
MLPerf Training Benchmark
MLPerf Training BenchmarkConference on Machine Learning and Systems (MLSys), 2019
Arya D. McCarthy
Christine Cheng
Cody Coleman
Greg Diamos
Paulius Micikevicius
...
Carole-Jean Wu
Lingjie Xu
Masafumi Yamazaki
C. Young
Matei A. Zaharia
531
352
0
02 Oct 2019
Mixed Dimension Embeddings with Application to Memory-Efficient
  Recommendation Systems
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation SystemsInternational Symposium on Information Theory (ISIT), 2019
Antonio A. Ginart
Maxim Naumov
Dheevatsa Mudigere
Jiyan Yang
James Zou
344
108
0
25 Sep 2019
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
Wei Zhang
Wei Wei
Lingjie Xu
Lingling Jin
Cheng Li
ELM
107
23
0
23 Sep 2019
Distributed Equivalent Substitution Training for Large-Scale Recommender
  Systems
Distributed Equivalent Substitution Training for Large-Scale Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Haidong Rong
Yangzihao Wang
Feihu Zhou
Junjie Zhai
Haiyang Wu
...
Fan Li
Han Zhang
Yuekui Yang
Zhenyu Guo
Di Wang
OffRL
192
12
0
10 Sep 2019
Compositional Embeddings Using Complementary Partitions for
  Memory-Efficient Recommendation Systems
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation SystemsKnowledge Discovery and Data Mining (KDD), 2019
Hao-Jun Michael Shi
Dheevatsa Mudigere
Maxim Naumov
Jiyan Yang
244
135
0
04 Sep 2019
A Novel User Representation Paradigm for Making Personalized Candidate
  Retrieval
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
Zheng Liu
Yu Xing
Jianxun Lian
Defu Lian
Ziyao Li
Xing Xie
136
3
0
15 Jul 2019
Privileged Features Distillation at Taobao Recommendations
Privileged Features Distillation at Taobao RecommendationsKnowledge Discovery and Data Mining (KDD), 2019
Chen Xu
Quan Li
Junfeng Ge
Jinyang Gao
Xiaoyong Yang
Changhua Pei
Fei Sun
Jian Wu
Hanxiao Sun
Wenwu Ou
184
73
0
11 Jul 2019
Click-Through Rate Prediction with the User Memory Network
Click-Through Rate Prediction with the User Memory Network
W. Ouyang
Xiuwu Zhang
Shukui Ren
Li Li
Zhaojie Liu
Yanlong Du
3DVHAI
184
10
0
09 Jul 2019
An Enhanced Ad Event-Prediction Method Based on Feature Engineering
An Enhanced Ad Event-Prediction Method Based on Feature Engineering
Saeid Soheily-Khah
Yiming Wu
81
2
0
03 Jul 2019
Deep Personalized Re-targeting
Deep Personalized Re-targetingInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019
Meisam Hejazinia
Pavlos Mitsoulis-Ntompos
Serena Zhang
185
2
0
03 Jul 2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction
  Modeling
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling
Guorui Zhou
Kailun Wu
Weijie Bian
Zhao Yang
Xiaoqiang Zhu
Kun Gai
104
6
0
25 Jun 2019
Real-time Attention Based Look-alike Model for Recommender System
Real-time Attention Based Look-alike Model for Recommender SystemKnowledge Discovery and Data Mining (KDD), 2019
Yudan Liu
Kaikai Ge
Xu-Yao Zhang
Leyu Lin
95
49
0
12 Jun 2019
Representation Learning-Assisted Click-Through Rate Prediction
Representation Learning-Assisted Click-Through Rate PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
W. Ouyang
Xiuwu Zhang
Shukui Ren
Chao Qi
Zhaojie Liu
Yanlong Du
3DV
139
25
0
11 Jun 2019
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction
Deep Spatio-Temporal Neural Networks for Click-Through Rate PredictionKnowledge Discovery and Data Mining (KDD), 2019
W. Ouyang
Xiuwu Zhang
Li Li
Heng Zou
Xin Xing
Zhaojie Liu
Yanlong Du
212
62
0
10 Jun 2019
Deep Learning Recommendation Model for Personalization and
  Recommendation Systems
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov
Dheevatsa Mudigere
Hao-Jun Michael Shi
Jianyu Huang
Narayanan Sundaraman
...
Wenlin Chen
Vijay Rao
Bill Jia
Liang Xiong
M. Smelyanskiy
267
849
0
31 May 2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction
  for Click-Through Rate Prediction
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate PredictionACM Conference on Recommender Systems (RecSys), 2019
Tongwen Huang
Zhiqi Zhang
Junlin Zhang
339
336
0
23 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation
KGAT: Knowledge Graph Attention Network for RecommendationKnowledge Discovery and Data Mining (KDD), 2019
Xiang Wang
Xiangnan He
Yixin Cao
Meng Liu
Tat-Seng Chua
OffRL
309
2,105
0
20 May 2019
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization MachineIndustrial Conference on Data Mining (IDM), 2019
Junlin Zhang
Tongwen Huang
Zhiqi Zhang
98
21
0
15 May 2019
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Qiwei Chen
Huan Zhao
Wei Li
Pipei Huang
Wenwu Ou
164
452
0
15 May 2019
Deep Landscape Forecasting for Real-time Bidding Advertising
Deep Landscape Forecasting for Real-time Bidding AdvertisingKnowledge Discovery and Data Mining (KDD), 2019
Kan Ren
Jiarui Qin
Lei Zheng
Zhengyu Yang
Weinan Zhang
Yong Yu
OOD
182
40
0
07 May 2019
A Content-Based Approach to Email Triage Action Prediction: Exploration
  and Evaluation
A Content-Based Approach to Email Triage Action Prediction: Exploration and Evaluation
Sudipto Mukherjee
Ke Jiang
48
0
0
30 Apr 2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via
  Learning to Learn ID Embeddings
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Feiyang Pan
Shuokai Li
Xiang Ao
Pingzhong Tang
Qing He
200
214
0
25 Apr 2019
CPM-sensitive AUC for CTR prediction
CPM-sensitive AUC for CTR prediction
Zhaocheng Liu
Guangxue Yin
76
1
0
23 Apr 2019
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Chong Li
Zhiyuan Liu
Mengmeng Wu
Yuchi Xu
Pipei Huang
Huan Zhao
Guoliang Kang
Qiwei Chen
Wei Li
Lee
238
452
0
17 Apr 2019
Feature Generation by Convolutional Neural Network for Click-Through
  Rate Prediction
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
Bin Liu
Ruiming Tang
Yingzhi Chen
Jinkai Yu
Huifeng Guo
Yuzhou Zhang
3DV
138
165
0
09 Apr 2019
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal
  Expansions
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions
Francois Belletti
K. Lakshmanan
Walid Krichene
Nicolas Mayoraz
Yi-Fan Chen
John R. Anderson
Taylor Robie
Tayo Oguntebi
Dan Shirron
Amit Bleiwess
135
5
0
08 Apr 2019
Operation-aware Neural Networks for User Response Prediction
Operation-aware Neural Networks for User Response Prediction
Yi Yang
Baile Xu
S. Furao
Jian Zhao
109
79
0
02 Apr 2019
Dual Graph Attention Networks for Deep Latent Representation of
  Multifaceted Social Effects in Recommender Systems
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Qitian Wu
Hengrui Zhang
Xiaofeng Gao
Peng He
Paul Weng
Han Gao
Guihai Chen
OffRLCML
218
346
0
25 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems
Knowledge Graph Convolutional Networks for Recommender SystemsThe Web Conference (WWW), 2019
Hongwei Wang
Miao Zhao
Xing Xie
Wenjie Li
Minyi Guo
185
1,060
0
18 Mar 2019
Knowledge-aware Complementary Product Representation Learning
Knowledge-aware Complementary Product Representation Learning
Da Xu
Chuanwei Ruan
Jason H. D. Cho
Evren Körpeoglu
Sushant Kumar
Kannan Achan
DML
195
31
0
16 Mar 2019
Saec: Similarity-Aware Embedding Compression in Recommendation Systems
Saec: Similarity-Aware Embedding Compression in Recommendation SystemsAsia Pacific Workshop on Systems (APSys), 2019
Xiaorui Wu
Hong Xu
Honglin Zhang
Huaming Chen
Jian Wang
134
16
0
26 Feb 2019
Towards Neural Mixture Recommender for Long Range Dependent User
  Sequences
Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Jiaxi Tang
Francois Belletti
Sagar Jain
Minmin Chen
Alex Beutel
Can Xu
Ed H. Chi
141
96
0
22 Feb 2019
Joint Optimization of Tree-based Index and Deep Model for Recommender
  Systems
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Ziru Xu
Daqing Chang
Xinhang Li
Pengye Zhang
Xiang Li
Jie He
Han Li
Jian Xu
Kun Gai
151
109
0
19 Feb 2019
Diffusion Variational Autoencoders
Diffusion Variational Autoencoders
Luis A. Pérez Rey
Vlado Menkovski
Jacobus W. Portegies
DiffMBDLDRL
149
62
0
25 Jan 2019
Scalable Realistic Recommendation Datasets through Fractal Expansions
Scalable Realistic Recommendation Datasets through Fractal Expansions
Francois Belletti
K. Lakshmanan
Walid Krichene
Yi-Fan Chen
John R. Anderson
233
21
0
23 Jan 2019
Structured Semantic Model supported Deep Neural Network for
  Click-Through Rate Prediction
Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction
Chenglei Niu
Guojing Zhong
Y. Liu
Yandong Zhang
Yongsheng Sun
Ailong He
Zhaoji Chen
106
1
0
04 Dec 2018
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored
  Search
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search
Wenjin Wu
Guojun Liu
Hui Ye
Chenshuang Zhang
Tianshu Wu
Daorui Xiao
Jialin Li
Xiaoyu Zhu
350
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Deep Learning Inference in Facebook Data Centers: Characterization,
  Performance Optimizations and Hardware Implications
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
Jongsoo Park
Maxim Naumov
Protonu Basu
Summer Deng
Aravind Kalaiah
...
Lin Qiao
Vijay Rao
Nadav Rotem
S. Yoo
M. Smelyanskiy
FedMLGNNBDL
212
195
0
24 Nov 2018
Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Assaf Eisenman
Maxim Naumov
Darryl Gardner
M. Smelyanskiy
S. Pupyrev
K. Hazelwood
Asaf Cidon
Sachin Katti
134
89
0
14 Nov 2018
AutoInt: Automatic Feature Interaction Learning via Self-Attentive
  Neural Networks
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song
Chence Shi
Zhiping Xiao
Zhijian Duan
Yewen Xu
Ming Zhang
Jian Tang
CML
323
985
0
29 Oct 2018
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