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1606.07792
Cited By
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
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
Bin Liu
Ruiming Tang
Yingzhi Chen
Jinkai Yu
Huifeng Guo
Yuzhou Zhang
3DV
14
149
0
09 Apr 2019
Personalized Bundle List Recommendation
Jinze Bai
Chang Zhou
Junshuai Song
Xiaoru Qu
Weiting An
Zheng Li
Jun Gao
13
82
0
03 Apr 2019
Operation-aware Neural Networks for User Response Prediction
Yi Yang
Baile Xu
S. Furao
Jian Zhao
19
66
0
02 Apr 2019
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction
Dongyan Zhao
Liang Zhang
Bo Zhang
Lizhou Zheng
Yongjun Bao
Weipeng P. Yan
17
3
0
22 Mar 2019
Subgraph Networks with Application to Structural Feature Space Expansion
Qi Xuan
Jinhuan Wang
M. Zhao
Junkun Yuan
Chenbo Fu
Zhongyuan Ruan
Guanrong Chen
19
60
0
21 Mar 2019
Efficient Inner Product Approximation in Hybrid Spaces
Xiang Wu
Ruiqi Guo
David Simcha
Dave Dopson
Sanjiv Kumar
9
16
0
20 Mar 2019
Personalized Neural Embeddings for Collaborative Filtering with Text
Guangneng Hu
13
7
0
19 Mar 2019
Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture
Y. Yu
Yingmin Li
Shuai Che
N. Jha
Weifeng Zhang
12
21
0
18 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems
Hongwei Wang
Miao Zhao
Xing Xie
Wenjie Li
M. Guo
27
912
0
18 Mar 2019
Positively Scale-Invariant Flatness of ReLU Neural Networks
Mingyang Yi
Qi Meng
Wei-neng Chen
Zhi-Ming Ma
Tie-Yan Liu
23
17
0
06 Mar 2019
Interaction-aware Factorization Machines for Recommender Systems
Fuxing Hong
Dongbo Huang
Ge Chen
22
37
0
26 Feb 2019
Deep Bayesian Multi-Target Learning for Recommender Systems
Qi Wang
Zhihui Ji
Huasheng Liu
Binqiang Zhao
BDL
33
11
0
25 Feb 2019
Field-aware Neural Factorization Machine for Click-Through Rate Prediction
Li Zhang
Weichen Shen
Shijian Li
Gang Pan
13
33
0
25 Feb 2019
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
31
93
0
19 Feb 2019
How do infinite width bounded norm networks look in function space?
Pedro H. P. Savarese
Itay Evron
Daniel Soudry
Nathan Srebro
11
163
0
13 Feb 2019
Diffusion Variational Autoencoders
Luis A. Pérez Rey
Vlado Menkovski
Jacobus W. Portegies
DiffM
BDL
DRL
21
62
0
25 Jan 2019
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
Hongwei Wang
Fuzheng Zhang
Miao Zhao
Wenjie Li
Xing Xie
M. Guo
11
453
0
23 Jan 2019
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Guangneng Hu
Yu Zhang
Qiang Yang
29
80
0
22 Jan 2019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng
Ling Huang
Changdong Wang
Jianhuang Lai
Philip S. Yu
11
156
0
15 Jan 2019
Large-scale Collaborative Filtering with Product Embeddings
Thom Lake
Sinead Williamson
Alexander T. Hawk
Christopher C. Johnson
Benjamin Wing
21
10
0
11 Jan 2019
On the Dimensionality of Embeddings for Sparse Features and Data
Maxim Naumov
15
12
0
07 Jan 2019
Personalized explanation in machine learning: A conceptualization
J. Schneider
J. Handali
XAI
FAtt
22
17
0
03 Jan 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen
Shuang Li
Hui Li
Shaohua Jiang
Yuan Qi
Le Song
11
206
0
27 Dec 2018
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
17
1
0
04 Dec 2018
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
Wei Lin
Xiaoyu Zhu
27
8
0
04 Dec 2018
Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering
Wei Wang
Ming Yan
Chen Henry Wu
30
173
0
29 Nov 2018
Evolutionary-Neural Hybrid Agents for Architecture Search
Krzysztof Maziarz
Mingxing Tan
A. Khorlin
Quentin de Laroussilhe
Andrea Gesmundo
6
37
0
24 Nov 2018
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
15
81
0
14 Nov 2018
Effective Feature Representation for Clinical Text Concept Extraction
Yifeng Tao
B. Godefroy
Guillaume Genthial
Christopher Potts
11
8
0
31 Oct 2018
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser
Stephan Günnemann
Zachary Chase Lipton
33
359
0
29 Oct 2018
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
20
830
0
29 Oct 2018
Wide and Deep Learning for Peer-to-Peer Lending
K. Bastani
Elham Asgari
Hamed Namavari
9
94
0
05 Oct 2018
Capacity Control of ReLU Neural Networks by Basis-path Norm
Shuxin Zheng
Qi Meng
Huishuai Zhang
Wei-neng Chen
Nenghai Yu
Tie-Yan Liu
24
23
0
19 Sep 2018
Fighting Redundancy and Model Decay with Embeddings
Dan Shiebler
Luca Belli
Jay Baxter
Hanchen Xiong
A. Tayal
14
4
0
18 Sep 2018
Towards Deep and Representation Learning for Talent Search at LinkedIn
R. Ramanath
Hakan Inan
Gungor Polatkan
Bo Hu
Qi Guo
C. Ozcaglar
Xianren Wu
K. Kenthapadi
S. Geyik
14
65
0
17 Sep 2018
Deep Interest Evolution Network for Click-Through Rate Prediction
Guorui Zhou
Na Mou
Ying Fan
Qi Pi
Weijie Bian
Chang Zhou
Xiaoqiang Zhu
Kun Gai
19
1,044
0
11 Sep 2018
Action-conditional Sequence Modeling for Recommendation
E. Smirnova
HAI
9
0
0
07 Sep 2018
Role Semantics for Better Models of Implicit Discourse Relations
Michael Roth
9
3
0
24 Aug 2018
The Importance of Context When Recommending TV Content: Dataset and Algorithms
M. S. Kristoffersen
S. Shepstone
Zheng-Hua Tan
14
10
0
30 Jul 2018
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems
Timothy A. Mann
Sven Gowal
András Gyorgy
Ray Jiang
Huiyi Hu
Balaji Lakshminarayanan
Prav Srinivasan
AI4TS
6
11
0
24 Jul 2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Giannis Karamanolakis
Kevin Raji Cherian
A. Narayan
Jie Yuan
Da Tang
Tony Jebara
DRL
16
45
0
17 Jul 2018
A Recurrent Neural Network Survival Model: Predicting Web User Return Time
Georg L. Grob
Ângelo Cardoso
C. H. B. Liu
Duncan A. Little
B. Chamberlain
14
14
0
11 Jul 2018
Learning Theory and Algorithms for Revenue Management in Sponsored Search
Lulu Wang
Huahui Liu
Guanhao Chen
Shaola Ren
Xiaonan Meng
Y. Hu
11
0
0
05 Jul 2018
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks
Piero Molino
H. Zheng
Yi-Chia Wang
11
24
0
03 Jul 2018
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Yanru Qu
Bohui Fang
Weinan Zhang
Ruiming Tang
Minzhe Niu
Huifeng Guo
Yong Yu
Xiuqiang He
11
179
0
01 Jul 2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction
Lin Guo
Hui Ye
Wenbo Su
He Liu
Kai Sun
Hang Xiang
FAtt
HAI
10
7
0
22 Jun 2018
Self-Attentive Neural Collaborative Filtering
Yi Tay
Shuai Zhang
Anh Tuan Luu
S. Hui
29
2
0
17 Jun 2018
Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Binbing Liao
Jingqing Zhang
Chao Wu
Douglas McIlwraith
Tong Chen
Shengwen Yang
Yike Guo
Fei Wu
24
209
0
13 Jun 2018
Gear Training: A new way to implement high-performance model-parallel training
Hao Dong
Shuai Li
D. Xu
Yi Ren
Di Zhang
19
1
0
11 Jun 2018
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
Junwei Pan
Jian Xu
A. L. Ruiz
Wenliang Zhao
Shengjun Pan
Yu Sun
Quan Lu
23
193
0
09 Jun 2018
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