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Wide & Deep Learning for Recommender Systems

Wide & Deep Learning for Recommender Systems

24 June 2016
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
H. Aradhye
Glen Anderson
G. Corrado
Wei Chai
M. Ispir
Rohan Anil
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
    HAI
    VLM
ArXivPDFHTML

Papers citing "Wide & Deep Learning for Recommender Systems"

50 / 915 papers shown
Title
Leaf-FM: A Learnable Feature Generation Factorization Machine for
  Click-Through Rate Prediction
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
Qingyun She
Zhiqiang Wang
Junlin Zhang
31
1
0
26 Jul 2021
Defending against Reconstruction Attack in Vertical Federated Learning
Defending against Reconstruction Attack in Vertical Federated Learning
Jiankai Sun
Yuanshun Yao
Weihao Gao
Junyuan Xie
Chong-Jun Wang
AAML
FedML
24
28
0
21 Jul 2021
Wide and Deep Graph Neural Network with Distributed Online Learning
Wide and Deep Graph Neural Network with Distributed Online Learning
Zhan Gao
Fernando Gama
Alejandro Ribeiro
GNN
44
26
0
19 Jul 2021
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender
  Systems
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
Eli Lucherini
Matthew Sun
Amy A. Winecoff
Arvind Narayanan
31
23
0
19 Jul 2021
GuideBoot: Guided Bootstrap for Deep Contextual Bandits
GuideBoot: Guided Bootstrap for Deep Contextual Bandits
Feiyang Pan
Haoming Li
Xiang Ao
Wei Wang
Yanrong Kang
Ao Tan
Qing He
11
0
0
18 Jul 2021
An Educational System for Personalized Teacher Recommendation in K-12
  Online Classrooms
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
Jiahao Chen
Hang Li
Wenbiao Ding
Zitao Liu
AI4Ed
25
5
0
15 Jul 2021
Denoising User-aware Memory Network for Recommendation
Denoising User-aware Memory Network for Recommendation
Zhiwei. Bian
Shaojun Zhou
Hao Xu
Qihong Yang
Zhenqi Sun
Junjie Tang
Guiquan Liu
Kaikui Liu
Xiaolong Li
HAI
AI4TS
69
36
0
12 Jul 2021
Position-enhanced and Time-aware Graph Convolutional Network for
  Sequential Recommendations
Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
Liwei Huang
Yutao Ma
Yanbo Liu
Bohong
Du
Shuliang Wang
Deyi Li
GNN
35
53
0
12 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Michael A. Hedderich
Benjamin Roth
Katharina Kann
Barbara Plank
Alex Ratner
Dietrich Klakow
24
0
0
08 Jul 2021
Model Selection for Generic Contextual Bandits
Model Selection for Generic Contextual Bandits
Avishek Ghosh
Abishek Sankararaman
Kannan Ramchandran
16
6
0
07 Jul 2021
FINT: Field-aware INTeraction Neural Network For CTR Prediction
FINT: Field-aware INTeraction Neural Network For CTR Prediction
Zhishan Zhao
Sen Yang
Guohui Liu
Dawei Feng
Ke Xu
24
9
0
05 Jul 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data
ARM-Net: Adaptive Relation Modeling Network for Structured Data
Shaofeng Cai
Kaiping Zheng
Gang Chen
H. V. Jagadish
Beng Chin Ooi
Meihui Zhang
38
50
0
05 Jul 2021
SHORING: Design Provable Conditional High-Order Interaction Network via
  Symbolic Testing
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing
Hui Li
Xingbo Fu
Ruofan Wu
Jinyu Xu
Kai Y. Xiao
...
Weiqiang Wang
Shuai Chen
Leilei Shi
Tao Xiong
Yuan Qi
AI4TS
15
0
0
03 Jul 2021
Online Interaction Detection for Click-Through Rate Prediction
Online Interaction Detection for Click-Through Rate Prediction
Qiuqiang Lin
Chuanhou Gao
14
0
0
27 Jun 2021
Context-aware Heterogeneous Graph Attention Network for User Behavior
  Prediction in Local Consumer Service Platform
Context-aware Heterogeneous Graph Attention Network for User Behavior Prediction in Local Consumer Service Platform
Peiyuan Zhu
Xiaofeng Wang
Zisen Sang
Aiquan Yuan
Guodong Cao
8
1
0
24 Jun 2021
Feedback Shaping: A Modeling Approach to Nurture Content Creation
Feedback Shaping: A Modeling Approach to Nurture Content Creation
Ye Tu
Chun Lo
Yiping Yuan
S. Chatterjee
19
8
0
21 Jun 2021
DisenHAN: Disentangled Heterogeneous Graph Attention Network for
  Recommendation
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Yifan Wang
Suyao Tang
Yuntong Lei
Weiping Song
Sheng Wang
Ming Zhang
21
141
0
21 Jun 2021
Masked Training of Neural Networks with Partial Gradients
Masked Training of Neural Networks with Partial Gradients
Amirkeivan Mohtashami
Martin Jaggi
Sebastian U. Stich
17
22
0
16 Jun 2021
CausalNLP: A Practical Toolkit for Causal Inference with Text
CausalNLP: A Practical Toolkit for Causal Inference with Text
Arun S. Maiya
CML
6
3
0
15 Jun 2021
A Pseudo Label-wise Attention Network for Automatic ICD Coding
A Pseudo Label-wise Attention Network for Automatic ICD Coding
Yifan Wu
Min Zeng
Ying Yu
Min Li
22
10
0
12 Jun 2021
Vertical Federated Learning without Revealing Intersection Membership
Vertical Federated Learning without Revealing Intersection Membership
Jiankai Sun
Xin Yang
Yuanshun Yao
Aonan Zhang
Weihao Gao
Junyuan Xie
Chong-Jun Wang
FedML
31
37
0
10 Jun 2021
Muddling Label Regularization: Deep Learning for Tabular Datasets
Muddling Label Regularization: Deep Learning for Tabular Datasets
Karim Lounici
Katia Méziani
Benjamin Riu
24
6
0
08 Jun 2021
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce
  Advertising
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
Xiangyu Liu
Chuan Yu
Zhilin Zhang
Zhenzhe Zheng
Yu Rong
...
Dagui Chen
Jian Xu
Fan Wu
Guihai Chen
Xiaoqiang Zhu
16
59
0
07 Jun 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate
  Prediction
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
Fengtong Xiao
Lin Li
Weinan Xu
Jingyu Zhao
Xiaofeng Yang
Jun Lang
Hao Wang
21
14
0
07 Jun 2021
PURS: Personalized Unexpected Recommender System for Improving User
  Satisfaction
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction
Pan Li
Maofei Que
Zhichao Jiang
Yao Hu
Alexander Tuzhilin
19
43
0
05 Jun 2021
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate
  Prediction
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
Pan Li
Zhichao Jiang
Maofei Que
Yao Hu
Alexander Tuzhilin
LRM
17
55
0
05 Jun 2021
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile
  Modeling
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
Zhenhui Xu
Meng Zhao
Liqun Liu
Lei Xiao
Xiaopeng Zhang
Bifeng Zhang
OffRL
21
10
0
04 Jun 2021
Low-Precision Hardware Architectures Meet Recommendation Model Inference
  at Scale
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale
Zhaoxia Deng
Deng
Jongsoo Park
P. T. P. Tang
Haixin Liu
...
S. Nadathur
Changkyu Kim
Maxim Naumov
S. Naghshineh
M. Smelyanskiy
29
11
0
26 May 2021
We Know What You Want: An Advertising Strategy Recommender System for
  Online Advertising
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising
Liyi Guo
Junqi Jin
Haoqi Zhang
Zhenzhe Zheng
Zhiye Yang
...
Fan Wu
Haiyang Xu
Chuan Yu
Yuning Jiang
Xiaoqiang Zhu
14
11
0
25 May 2021
Wide & Deep neural network model for patch aggregation in CNN-based
  prostate cancer detection systems
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems
L. Durán-López
Juan P. Dominguez-Morales
Daniel Gutierrez-Galan
A. Rios-Navarro
Angel Jimenez-Fernandez
S. V. Diaz
A. Linares-Barranco
28
13
0
20 May 2021
Personalized Counterfactual Fairness in Recommendation
Personalized Counterfactual Fairness in Recommendation
Yunqi Li
Hanxiong Chen
Shuyuan Xu
Yingqiang Ge
Yongfeng Zhang
FaML
OffRL
29
142
0
20 May 2021
Learning Robust Recommenders through Cross-Model Agreement
Learning Robust Recommenders through Cross-Model Agreement
Yu Wang
Xin Xin
Zaiqiao Meng
Xiangnan He
J. Jose
Fuli Feng
20
48
0
20 May 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate
  Prediction
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
W. Ouyang
Xiuwu Zhang
Shukui Ren
Li Li
Kun Zhang
Jinmei Luo
Zhaojie Liu
Yanlong Du
28
46
0
19 May 2021
DCAP: Deep Cross Attentional Product Network for User Response
  Prediction
DCAP: Deep Cross Attentional Product Network for User Response Prediction
Zekai Chen
Fangtian Zhong
Zhumin Chen
Xiao Zhang
Robert Pless
Xiuzhen Cheng
19
11
0
18 May 2021
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural
  Networks for CTR Prediction
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction
Feng Li
Bencheng Yan
Qingqing Long
Pengjie Wang
Wei Lin
Jian Xu
Bo Zheng
GNN
10
17
0
17 May 2021
Looking at CTR Prediction Again: Is Attention All You Need?
Looking at CTR Prediction Again: Is Attention All You Need?
Yuan Cheng
Yanbo Xue
CML
HAI
13
18
0
12 May 2021
Neural Graph Matching based Collaborative Filtering
Neural Graph Matching based Collaborative Filtering
Yixin Su
Rui Zhang
S. Erfani
Junhao Gan
42
46
0
10 May 2021
Click-Through Rate Prediction Using Graph Neural Networks and Online
  Learning
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning
F. Rajabi
J. He
GNN
3DV
11
2
0
09 May 2021
Blockchain Systems, Technologies and Applications: A Methodology
  Perspective
Blockchain Systems, Technologies and Applications: A Methodology Perspective
Bin Cao
Zixin Wang
Long Zhang
Daquan Feng
M. Peng
Lei Zhang
30
61
0
08 May 2021
Multimodal and Contrastive Learning for Click Fraud Detection
Multimodal and Contrastive Learning for Click Fraud Detection
Weibin Li
Qiwei Zhong
Qingyang Zhao
Hongchun Zhang
Xiaonan Meng
19
1
0
08 May 2021
Alternate Model Growth and Pruning for Efficient Training of
  Recommendation Systems
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems
Xiaocong Du
Bhargav Bhushanam
Jiecao Yu
Dhruv Choudhary
Tianxiang Gao
Sherman Wong
Louis Feng
Jongsoo Park
Yu Cao
A. Kejariwal
34
5
0
04 May 2021
Automatic Collection Creation and Recommendation
Automatic Collection Creation and Recommendation
Sanidhya Singal
P. Singh
Manjeet Dahiya
VLM
13
2
0
03 May 2021
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson
  Sampling
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
Simen Eide
David S. Leslie
A. Frigessi
BDL
OffRL
33
9
0
30 Apr 2021
Improving Conversational Recommendation System by Pretraining on
  Billions Scale of Knowledge Graph
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
Chi-Man Wong
Fan Feng
Wen Zhang
Chi-Man Vong
Hui Chen
Yichi Zhang
Peng He
Hua-Ni Chen
Kun Zhao
Huajun Chen
HAI
29
26
0
30 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 Cores
Sheng-Chun Kao
T. Krishna
24
50
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 Recommendation
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
32
284
0
27 Apr 2021
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate
  Prediction
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
Runlong Yu
Yuyang Ye
Qi Liu
Zihan Wang
Chunfeng Yang
Yucheng Hu
Enhong Chen
30
18
0
22 Apr 2021
Deep Learning for Click-Through Rate Estimation
Deep Learning for Click-Through Rate Estimation
Weinan Zhang
Jiarui Qin
Wei Guo
Ruiming Tang
Xiuqiang He
3DV
HAI
33
110
0
21 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 Table
Huifeng Guo
Wei Guo
Yong Gao
Ruiming Tang
Xiuqiang He
Wenzhi Liu
43
20
0
17 Apr 2021
Efficient Click-Through Rate Prediction for Developing Countries via
  Tabular Learning
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
Joonyoung Yi
Buru Chang
14
1
0
15 Apr 2021
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