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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
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Papers citing "Wide & Deep Learning for Recommender Systems"

50 / 915 papers shown
Title
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive
  Surveillance of COVID-19 Using Heterogeneous Features and their Interactions
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions
Ankit Ramchandani
Chao Fan
Ali Mostafavi
17
76
0
31 Jul 2020
Embedding Ranking-Oriented Recommender System Graphs
Embedding Ranking-Oriented Recommender System Graphs
Taher Hekmatfar
Saman Haratizadeh
S. Goliaei
17
7
0
31 Jul 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
Yuexiang Xie
Zhen Wang
Yaliang Li
Bolin Ding
Nezihe Merve Gürel
Ce Zhang
Minlie Huang
Wei Lin
Jingren Zhou
62
28
0
29 Jul 2020
Model Size Reduction Using Frequency Based Double Hashing for
  Recommender Systems
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
Caojin Zhang
Yicun Liu
Yuanpu Xie
S. Ktena
Alykhan Tejani
...
Suvadip Paul
Ikuhiro Ihara
P. Upadhyaya
Ferenc Huszár
Wenzhe Shi
34
53
0
28 Jul 2020
COMET: Convolutional Dimension Interaction for Collaborative Filtering
COMET: Convolutional Dimension Interaction for Collaborative Filtering
Zhuoyi Lin
Lei Feng
Xingzhi Guo
Yu Zhang
Rui Yin
C. Kwoh
Chi Xu
AI4TS
10
6
0
28 Jul 2020
Recommending Podcasts for Cold-Start Users Based on Music Listening and
  Taste
Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste
Zahra Nazari
Christophe Charbuillet
Johan Pages
Martin Laurent
Denis Charrier
Briana Vecchione
Ben Carterette
OffRL
27
20
0
27 Jul 2020
Iterative Boosting Deep Neural Networks for Predicting Click-Through
  Rate
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
Amit Livne
Roy Dor
Eyal Mazuz
Tamar Didi
Bracha Shapira
Lior Rokach
11
4
0
26 Jul 2020
Self-supervised Learning for Large-scale Item Recommendations
Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao
Xinyang Yi
D. Cheng
Felix X. Yu
Ting-Li Chen
...
Lichan Hong
Ed H. Chi
S. Tjoa
Jieqi Kang
Evan Ettinger
SSL
17
48
0
25 Jul 2020
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint
Zhuojian Xiao
Yunjiang Jiang
Guoyu Tang
Lin Liu
Sulong Xu
Yun Xiao
Weipeng P. Yan
MoE
29
8
0
24 Jul 2020
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial
  Prediction
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Wanfang Chen
Yuxiao Li
Brian J. Reich
Ying Sun
10
30
0
23 Jul 2020
Unsupervised Heterogeneous Coupling Learning for Categorical
  Representation
Unsupervised Heterogeneous Coupling Learning for Categorical Representation
Chengzhang Zhu
LongBing Cao
Jianping Yin
41
38
0
21 Jul 2020
Integrative Analysis for COVID-19 Patient Outcome Prediction
Integrative Analysis for COVID-19 Patient Outcome Prediction
Hanqing Chao
Xi Fang
Jiajin Zhang
F. Homayounieh
C. Arru
...
Z. Falaschi
Alessio Pasché
Ge Wang
M. Kalra
Pingkun Yan
14
3
0
20 Jul 2020
Learn to Propagate Reliably on Noisy Affinity Graphs
Learn to Propagate Reliably on Noisy Affinity Graphs
Lei Yang
Qingqiu Huang
Huaiyi Huang
Linning Xu
Dahua Lin
GNN
30
13
0
17 Jul 2020
Towards Open-World Recommendation: An Inductive Model-based
  Collaborative Filtering Approach
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
Qitian Wu
Hengrui Zhang
Xiao-Zhi Gao
Junchi Yan
H. Zha
CML
18
42
0
09 Jul 2020
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at
  Pinterest
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Aditya Pal
Chantat Eksombatchai
Yitong Zhou
Bo Zhao
Charles R. Rosenberg
J. Leskovec
22
132
0
07 Jul 2020
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
Tongwen Huang
Qingyun She
Zhiqiang Wang
Junlin Zhang
32
29
0
06 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A
  Survey
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
S. Silva
Peyman Najafirad
AAML
OOD
25
131
0
01 Jul 2020
Towards Automated Neural Interaction Discovery for Click-Through Rate
  Prediction
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction
Qingquan Song
Dehua Cheng
Hanning Zhou
Jiyan Yang
Yuandong Tian
X. Hu
3DV
21
86
0
29 Jun 2020
Graph Convolutional Network for Recommendation with Low-pass
  Collaborative Filters
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu
Zheng Qin
GNN
24
93
0
28 Jun 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented
  Distillation
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
Rasool Fakoor
Jonas W. Mueller
Nick Erickson
Pratik Chaudhari
Alex Smola
26
54
0
25 Jun 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and
  Architectures
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
Julien Launay
Iacopo Poli
Franccois Boniface
Florent Krzakala
36
62
0
23 Jun 2020
Correct Normalization Matters: Understanding the Effect of Normalization
  On Deep Neural Network Models For Click-Through Rate Prediction
Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction
Zhiqiang Wang
Qingyun She
Pengtao Zhang
Junlin Zhang
21
7
0
23 Jun 2020
Feature Interaction Interpretability: A Case for Explaining
  Ad-Recommendation Systems via Neural Interaction Detection
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
Michael Tsang
Dehua Cheng
Hanpeng Liu
Xuening Feng
Eric Zhou
Yan Liu
FAtt
21
60
0
19 Jun 2020
Category-Specific CNN for Visual-aware CTR Prediction at JD.com
Category-Specific CNN for Visual-aware CTR Prediction at JD.com
Hu Liu
Jing Lu
Hao Yang
Xiwei Zhao
Sulong Xu
...
Zehua Zhang
Wenjie Niu
Xiaokun Zhu
Yongjun Bao
Weipeng P. Yan
21
32
0
18 Jun 2020
Quick Lists: Enriched Playlist Embeddings for Future Playlist
  Recommendation
Quick Lists: Enriched Playlist Embeddings for Future Playlist Recommendation
Brett Vintch
11
0
0
17 Jun 2020
DCAF: A Dynamic Computation Allocation Framework for Online Serving
  System
DCAF: A Dynamic Computation Allocation Framework for Online Serving System
Biye Jiang
Pengye Zhang
Rihan Chen
Binding Dai
Xinchen Luo
Yifan Yang
Guan Wang
Guorui Zhou
Xiaoqiang Zhu
Kun Gai
8
15
0
17 Jun 2020
Wide and Deep Graph Neural Networks with Distributed Online Learning
Wide and Deep Graph Neural Networks with Distributed Online Learning
Zhan Gao
Fernando Gama
Alejandro Ribeiro
GNN
38
10
0
11 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
21
16
0
10 Jun 2020
Training with Multi-Layer Embeddings for Model Reduction
Training with Multi-Layer Embeddings for Model Reduction
Benjamin Ghaemmaghami
Zihao Deng
B. Cho
Leo Orshansky
A. Singh
M. Erez
Michael Orshansky
3DV
14
10
0
10 Jun 2020
Differentiable Neural Input Search for Recommender Systems
Differentiable Neural Input Search for Recommender Systems
Weiyu Cheng
Yanyan Shen
Linpeng Huang
23
36
0
08 Jun 2020
Feature Interaction based Neural Network for Click-Through Rate
  Prediction
Feature Interaction based Neural Network for Click-Through Rate Prediction
Dafang Zou
Leimin Zhang
Jiafa Mao
Weiguo Sheng
14
3
0
07 Jun 2020
Chromatic Learning for Sparse Datasets
Chromatic Learning for Sparse Datasets
Vladimir Feinberg
Peter Bailis
21
0
0
06 Jun 2020
Exploration-Exploitation Motivated Variational Auto-Encoder for
  Recommender Systems
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems
Yizi Zhang
Meimei Liu
16
0
0
05 Jun 2020
Large-scale Hybrid Approach for Predicting User Satisfaction with
  Conversational Agents
Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents
Dookun Park
Haonan Yuan
Dongmin Kim
Yinglei Zhang
Matsoukas Spyros
...
Yuan Ling
Kevin Quinn
P. Hung
Benjamin Yao
Sungjin Lee
LLMAG
16
17
0
29 May 2020
How to Grow a (Product) Tree: Personalized Category Suggestions for
  eCommerce Type-Ahead
How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead
Jacopo Tagliabue
Bingqing Yu
Marie Beaulieu
12
15
0
26 May 2020
Seamlessly Unifying Attributes and Items: Conversational Recommendation
  for Cold-Start Users
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
Shijun Li
Wenqiang Lei
Qingyun Wu
Xiangnan He
Peng Jiang
Tat-Seng Chua
26
118
0
23 May 2020
Deep Interest with Hierarchical Attention Network for Click-Through Rate
  Prediction
Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction
Weinan Xu
Hengxu He
Min Tan
Yunming Li
Jun Lang
Dongbai Guo
4
39
0
22 May 2020
Network On Network for Tabular Data Classification in Real-world
  Applications
Network On Network for Tabular Data Classification in Real-world Applications
Yuanfei Luo
Hao Zhou
Wei-Wei Tu
Yuqiang Chen
Wenyuan Dai
Qiang Yang
10
34
0
20 May 2020
Dynamic Knowledge embedding and tracing
Dynamic Knowledge embedding and tracing
Liangbei Xu
Mark A. Davenport
34
9
0
18 May 2020
Text Classification with Few Examples using Controlled Generalization
Text Classification with Few Examples using Controlled Generalization
A. Mahabal
Jason Baldridge
Burcu Karagol Ayan
Vincent Perot
Dan Roth
OOD
AI4CE
24
11
0
18 May 2020
A Social Search Model for Large Scale Social Networks
A Social Search Model for Large Scale Social Networks
Yunzhong He
Wenyuan Li
Liangxing Chen
Gabriel Forgues
Xunlong Gui
Sui Liang
Bo Hou
GNN
26
2
0
09 May 2020
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
Luca Belli
S. Ktena
Alykhan Tejani
A. Lung-Yut-Fong
Frank Portman
...
Gabriele Sottocornola
Walter Anelli
N. Andrade
Jessie J. Smith
Wenzhe Shi
AI4TS
18
10
0
28 Apr 2020
Neural Network-Based Collaborative Filtering for Question Sequencing
Neural Network-Based Collaborative Filtering for Question Sequencing
Lior Sidi
Hadar Klein
AI4Ed
4
2
0
25 Apr 2020
Stochastic batch size for adaptive regularization in deep network
  optimization
Stochastic batch size for adaptive regularization in deep network optimization
Kensuke Nakamura
Stefano Soatto
Byung-Woo Hong
ODL
27
6
0
14 Apr 2020
Large-scale Real-time Personalized Similar Product Recommendations
Large-scale Real-time Personalized Similar Product Recommendations
Zhi Liu
Yan Huang
Jing Gao
L. Chen
Dong Li
9
1
0
12 Apr 2020
Graph Enhanced Representation Learning for News Recommendation
Graph Enhanced Representation Learning for News Recommendation
Suyu Ge
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
AI4TS
24
123
0
31 Mar 2020
AliCoCo: Alibaba E-commerce Cognitive Concept Net
AliCoCo: Alibaba E-commerce Cognitive Concept Net
Xusheng Luo
Luxin Liu
Yanting Yang
Le Bo
Yuanpeng Cao
Jinhang Wu
Qiang Li
Keping Yang
Kenny Q. Zhu
27
66
0
30 Mar 2020
Developing a Recommendation Benchmark for MLPerf Training and Inference
Developing a Recommendation Benchmark for MLPerf Training and Inference
Carole-Jean Wu
Robin Burke
Ed H. Chi
Joseph Konstan
Julian McAuley
Yves Raimond
Hao Zhang
VLM
16
29
0
16 Mar 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
97
607
0
13 Mar 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep
  Learning Ads Systems
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao
Deping Xie
Ronglai Jia
Yulei Qian
Rui Ding
Mingming Sun
P. Li
MoE
59
150
0
12 Mar 2020
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