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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
Perceive Your Users in Depth: Learning Universal User Representations
  from Multiple E-commerce Tasks
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Yabo Ni
Dan Ou
Shichen Liu
Xiang Li
Wenwu Ou
Anxiang Zeng
Luo Si
30
139
0
28 May 2018
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in
  Recommendation System
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
Hong Wen
Jing Zhang
Quan Lin
Keping Yang
Pipei Huang
14
35
0
24 May 2018
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
Jilong Xue
Youshan Miao
Cheng Chen
Ming Wu
Lintao Zhang
Lidong Zhou
GNN
16
4
0
22 May 2018
DNN or k-NN: That is the Generalize vs. Memorize Question
DNN or k-NN: That is the Generalize vs. Memorize Question
Gilad Cohen
Guillermo Sapiro
Raja Giryes
19
38
0
17 May 2018
Policy Optimization with Second-Order Advantage Information
Policy Optimization with Second-Order Advantage Information
Jiajin Li
Baoxiang Wang
22
6
0
09 May 2018
Deep Factorization Machines for Knowledge Tracing
Deep Factorization Machines for Knowledge Tracing
Jill-Jênn Vie
22
13
0
01 May 2018
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAI
LRM
52
865
0
30 Apr 2018
DeepTriangle: A Deep Learning Approach to Loss Reserving
DeepTriangle: A Deep Learning Approach to Loss Reserving
Kevin Kuo
22
49
0
24 Apr 2018
Improving Native Ads CTR Prediction by Large Scale Event Embedding and
  Recurrent Networks
Improving Native Ads CTR Prediction by Large Scale Event Embedding and Recurrent Networks
Mehul Parsana
Krishna Poola
Yajun Wang
Zhiguang Wang
22
8
0
24 Apr 2018
Expert Finding in Community Question Answering: A Review
Expert Finding in Community Question Answering: A Review
Sha Yuan
Yu Zhang
Jie Tang
J. Cabota
19
96
0
21 Apr 2018
Entire Space Multi-Task Model: An Effective Approach for Estimating
  Post-Click Conversion Rate
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Xiao Ma
Liqin Zhao
Guan Huang
Zhi Wang
Zelin Hu
Xiaoqiang Zhu
Kun Gai
12
404
0
21 Apr 2018
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu
Yu Zhang
Qiang Yang
25
399
0
18 Apr 2018
Interact and Decide: Medley of Sub-Attention Networks for Effective
  Group Recommendation
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation
Lucas Vinh Tran
T. Pham
Yi Tay
Yiding Liu
Gao Cong
Xiaoli Li
24
93
0
12 Apr 2018
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
Zhenhua Dong
115
64
0
12 Apr 2018
Automatic Generation of Chinese Short Product Titles for Mobile Display
Automatic Generation of Chinese Short Product Titles for Mobile Display
Yu Gong
Xusheng Luo
Kenny Q. Zhu
Wenwu Ou
Shichen Liu
Lu Duan
15
32
0
30 Mar 2018
Deep Attention Model for Triage of Emergency Department Patients
Deep Attention Model for Triage of Emergency Department Patients
Djordje Gligorijevic
Jelena Stojanovic
W. Satz
Ivan Stojkovic
Kraftin E Schreyer
D. Portal
Z. Obradovic
14
25
0
28 Mar 2018
Broad Learning for Healthcare
Broad Learning for Healthcare
Bokai Cao
25
0
0
23 Mar 2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for
  Recommender Systems
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Jianxun Lian
Xiaohuan Zhou
Fuzheng Zhang
Zhongxia Chen
Xing Xie
Guangzhong Sun
BDL
19
1,025
0
14 Mar 2018
RippleNet: Propagating User Preferences on the Knowledge Graph for
  Recommender Systems
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
Hongwei Wang
Fuzheng Zhang
Jialin Wang
Miao Zhao
Wenjie Li
Xing Xie
M. Guo
39
1,035
0
09 Mar 2018
Transfer Learning with Neural AutoML
Transfer Learning with Neural AutoML
Catherine Wong
N. Houlsby
Yifeng Lu
Andrea Gesmundo
19
114
0
07 Mar 2018
Billion-scale Commodity Embedding for E-commerce Recommendation in
  Alibaba
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
Jizhe Wang
Pipei Huang
Huan Zhao
Zhibo Zhang
Binqiang Zhao
Lee
11
491
0
06 Mar 2018
Collaborative Metric Learning Recommendation System: Application to
  Theatrical Movie Releases
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases
Miguel Campo
J. J. Espinoza
J. Rieger
Abhinav Taliyan
14
11
0
01 Mar 2018
C-3PO: Click-sequence-aware DeeP Neural Network (DNN)-based Pop-uPs
  RecOmmendation
C-3PO: Click-sequence-aware DeeP Neural Network (DNN)-based Pop-uPs RecOmmendation
TonTon Hsien-De Huang
Hung-Yu kao
8
5
0
28 Feb 2018
Predicting Natural Hazards with Neuronal Networks
Predicting Natural Hazards with Neuronal Networks
M. Rauter
D. Winkler
AI4CE
13
10
0
21 Feb 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine
  Learning Abstractions
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache
O. Zinenko
Theodoros Theodoridis
Priya Goyal
Zach DeVito
William S. Moses
Sven Verdoolaege
Andrew Adams
Albert Cohen
40
432
0
13 Feb 2018
$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively
  Scale-Invariant Space
G\mathcal{G}G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Qi Meng
Shuxin Zheng
Huishuai Zhang
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
35
38
0
11 Feb 2018
Sometimes You Want to Go Where Everybody Knows your Name
Sometimes You Want to Go Where Everybody Knows your Name
Reuben Brasher
Nat Roth
Justin Wagle
25
0
0
30 Jan 2018
DKN: Deep Knowledge-Aware Network for News Recommendation
DKN: Deep Knowledge-Aware Network for News Recommendation
Hongwei Wang
Fuzheng Zhang
Xing Xie
M. Guo
34
1,033
0
25 Jan 2018
Learning Tree-based Deep Model for Recommender Systems
Learning Tree-based Deep Model for Recommender Systems
Ziru Xu
Xiang Li
Pengye Zhang
Guozheng Li
Jie He
Han Li
Kun Gai
22
286
0
08 Jan 2018
Neural Collaborative Autoencoder
Neural Collaborative Autoencoder
Qibing Li
Xiaolin Zheng
Xinyue Wu
CML
BDL
24
8
0
25 Dec 2017
Columnar Database Techniques for Creating AI Features
Columnar Database Techniques for Creating AI Features
B. Carlile
Akiko Marti
G. Delamarter
17
0
0
07 Dec 2017
Predicting the Popularity of Online Videos via Deep Neural Networks
Predicting the Popularity of Online Videos via Deep Neural Networks
Yue Mao
Yi Shen
Gang Qin
Longjun Cai
30
6
0
29 Nov 2017
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users
  in Real-Time
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai
Pranav Jindal
Jerry Zitao Liu
Yuchen Liu
Rahul Sharma
Charles Sugnet
Mark Ulrich
J. Leskovec
VLM
32
200
0
21 Nov 2017
ATRank: An Attention-Based User Behavior Modeling Framework for
  Recommendation
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
Chang Zhou
Jinze Bai
Junshuai Song
Xiaofei Liu
Zhengchao Zhao
Xiusi Chen
Jun Gao
HAI
30
305
0
17 Nov 2017
Image Matters: Visually modeling user behaviors using Advanced Model
  Server
Image Matters: Visually modeling user behaviors using Advanced Model Server
T. Ge
Liqin Zhao
Guorui Zhou
Keyu Chen
Shuying Liu
...
Sui Huang
Qing Cui
Xiaoqiang Zhu
Yu Zhang
Kun Gai
32
41
0
17 Nov 2017
Deep density networks and uncertainty in recommender systems
Deep density networks and uncertainty in recommender systems
Yoel Zeldes
Stavros Theodorakis
Efrat Solodnik
Aviv Rotman
Gil Chamiel
Dan Friedman
26
11
0
07 Nov 2017
Transaction Fraud Detection Using GRU-centered Sandwich-structured Model
Transaction Fraud Detection Using GRU-centered Sandwich-structured Model
Xurui Li
Wei Yu
Tianyu Luwang
Jianbin Zheng
Xuetao Qiu
Jintao Zhao
Lei Xia
Yujiao Li
30
24
0
04 Nov 2017
Densely Connected Convolutional Networks and Signal Quality Analysis to
  Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings
Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings
J. Rubin
S. Parvaneh
Asif Rahman
Bryan R. Conroy
S. Babaeizadeh
29
55
0
10 Oct 2017
Personalized Recommender System for Children's Book Recommendation with
  A Realtime Interactive Robot
Personalized Recommender System for Children's Book Recommendation with A Realtime Interactive Robot
Yun Liu
Tianmeng Gao
Baolin Song
Chengwei Huang
20
7
0
01 Oct 2017
Telepath: Understanding Users from a Human Vision Perspective in
  Large-Scale Recommender Systems
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems
Yu Wang
Jixing Xu
Aohan Wu
Mantian Li
Yang He
Jinghe Hu
Weipeng P. Yan
13
11
0
01 Sep 2017
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online
  Auctions
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions
Yu Wang
Jiayi Liu
Yuxiang Liu
Jun Hao
Yang He
Jinghe Hu
Weipeng P. Yan
Mantian Li
35
19
0
18 Aug 2017
Deep & Cross Network for Ad Click Predictions
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang
Bin Fu
Gang Fu
Mingliang Wang
17
1,199
0
17 Aug 2017
Neural Factorization Machines for Sparse Predictive Analytics
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He
Tat-Seng Chua
20
1,285
0
16 Aug 2017
Attentional Factorization Machines: Learning the Weight of Feature
  Interactions via Attention Networks
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao
Hao Ye
Xiangnan He
Hanwang Zhang
Fei Wu
Tat-Seng Chua
22
906
0
15 Aug 2017
Rocket Launching: A Universal and Efficient Framework for Training
  Well-performing Light Net
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net
Guorui Zhou
Ying Fan
Runpeng Cui
Weijie Bian
Xiaoqiang Zhu
Kun Gai
21
115
0
14 Aug 2017
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level
  Machine Learning Frameworks
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
Heng-Tze Cheng
Zakaria Haque
Lichan Hong
M. Ispir
Clemens Mewald
...
Yuan Tang
Philipp Tucker
Martin Wicke
Cassandra Xia
Jianwei Xie
21
32
0
08 Aug 2017
PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate
  Prediction in Tencent Advertising System
PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System
Xun Liu
Wei Xue
Lei Xiao
Bo Zhang
27
14
0
04 Jul 2017
Improving Session Recommendation with Recurrent Neural Networks by
  Exploiting Dwell Time
Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time
Alexander Dallmann
Alexander Grimm
Christian Pölitz
Daniel Zoller
Andreas Hotho
11
15
0
30 Jun 2017
Deep Interest Network for Click-Through Rate Prediction
Deep Interest Network for Click-Through Rate Prediction
Guorui Zhou
Cheng-Ning Song
Xiaoqiang Zhu
Xi-Wang Dai
Ziru Xu
Xiao Ma
Yanghui Yan
Junqi Jin
Han Li
Kun Gai
22
1,794
0
21 Jun 2017
Getting deep recommenders fit: Bloom embeddings for sparse binary
  input/output networks
Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks
Joan Serrà
Alexandros Karatzoglou
28
52
0
13 Jun 2017
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