ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.07792
  4. Cited By
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
Practitioners Versus Users: A Value-Sensitive Evaluation of Current
  Industrial Recommender System Design
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design
Zhilong Chen
J. Piao
Xiaochong Lan
Hancheng Cao
Chen Gao
Zhicong Lu
Yong Li
25
9
0
08 Aug 2022
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Jan Hartman
Davorin Kopic
8
2
0
03 Aug 2022
BERT4Loc: BERT for Location -- POI Recommender System
BERT4Loc: BERT for Location -- POI Recommender System
Syed Raza Bashir
Shaina Raza
Vojislav B. Mišić
11
10
0
02 Aug 2022
JDRec: Practical Actor-Critic Framework for Online Combinatorial
  Recommender System
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
Xin Zhao
Zhiwei Fang
Yuchen Guo
Jie He
Wenlong Chen
Changping Peng
19
0
0
27 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory
Yuwei Hu
Jiajie Li
Zhongming Yu
Zhiru Zhang
GNN
39
0
0
25 Jul 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using
  a Diverse Pool of Cloud Computing Instances
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
Baolin Li
Rohan Basu Roy
Tirthak Patel
V. Gadepally
K. Gettings
Devesh Tiwari
27
25
0
23 Jul 2022
Knowledge-enhanced Black-box Attacks for Recommendations
Knowledge-enhanced Black-box Attacks for Recommendations
Jingfan Chen
Wenqi Fan
Guanghui Zhu
Xiangyu Zhao
C. Yuan
Qing Li
Y. Huang
MLAU
AAML
32
50
0
21 Jul 2022
NASRec: Weight Sharing Neural Architecture Search for Recommender
  Systems
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
Tunhou Zhang
Dehua Cheng
Yuchen He
Zhengxing Chen
Xiaoliang Dai
Liang Xiong
Feng Yan
H. Li
Yiran Chen
W. Wen
22
16
0
14 Jul 2022
Everyone's Preference Changes Differently: Weighted Multi-Interest
  Retrieval Model
Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model
Hui Shi
Yupeng Gu
Yitong Zhou
Bo Zhao
Sicun Gao
Jishen Zhao
13
9
0
14 Jul 2022
The Impact of Feature Quantity on Recommendation Algorithm Performance:
  A Movielens-100K Case Study
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study
Lukas Wegmeth
12
2
0
13 Jul 2022
Wide & Deep Learning for Judging Student Performance in Online
  One-on-one Math Classes
Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes
Jiahao Chen
Zitao Liu
Weiqing Luo
14
3
0
13 Jul 2022
Device-Cloud Collaborative Recommendation via Meta Controller
Device-Cloud Collaborative Recommendation via Meta Controller
Jiangchao Yao
Feng Wang
Xichen Ding
Shaohu Chen
Bo Han
Jingren Zhou
Hongxia Yang
28
17
0
07 Jul 2022
Learning to Rank with Small Set of Ground Truth Data
Learning to Rank with Small Set of Ground Truth Data
Jiashu Wu
11
1
0
04 Jul 2022
GOF-TTE: Generative Online Federated Learning Framework for Travel Time
  Estimation
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation
Zhiwen Zhang
Hongjun Wang
Jiyuan Chen
Z. Fan
Xuan Song
Ryosuke Shibasaki
FedML
AI4TS
25
10
0
02 Jul 2022
Detecting Arbitrary Order Beneficial Feature Interactions for
  Recommender Systems
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems
Yixin Su
Yunxiang Zhao
S. Erfani
Junhao Gan
Rui Zhang
55
24
0
28 Jun 2022
Cooperative Retriever and Ranker in Deep Recommenders
Cooperative Retriever and Ranker in Deep Recommenders
Xunpeng Huang
Defu Lian
Jin Chen
Liu Zheng
Xing Xie
Enhong Chen
VLM
AI4TS
27
11
0
28 Jun 2022
Meta-Wrapper: Differentiable Wrapping Operator for User Interest
  Selection in CTR Prediction
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction
Tianwei Cao
Qianqian Xu
Zhiyong Yang
Qingming Huang
28
6
0
28 Jun 2022
LightFR: Lightweight Federated Recommendation with Privacy-preserving
  Matrix Factorization
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
Honglei Zhang
Fangyuan Luo
Jun Wu
Xiangnan He
Yidong Li
14
76
0
23 Jun 2022
Toward An Optimal Selection of Dialogue Strategies: A Target-Driven
  Approach for Intelligent Outbound Robots
Toward An Optimal Selection of Dialogue Strategies: A Target-Driven Approach for Intelligent Outbound Robots
Ruifeng Qian
Shijie Li
Mengjiao Bao
Huan Chen
Yu Che
20
2
0
22 Jun 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction
PHN: Parallel heterogeneous network with soft gating for CTR prediction
Ri-Qi Su
Alphonse Houssou Hounye
Cong Cao
Muzhou Hou
13
1
0
18 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup
Boosting Factorization Machines via Saliency-Guided Mixup
Chenwang Wu
Defu Lian
Yong Ge
Min Zhou
Enhong Chen
Dacheng Tao
11
4
0
17 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your
  Data
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Fangcheng Fu
Huanran Xue
Yong Cheng
Yangyu Tao
Bin Cui
FedML
16
59
0
16 Jun 2022
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P
  E-Commerce
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce
Shuhao Zheng
Junliang Luo
Erqun Dong
Can Chen
Xue Liu
9
5
0
15 Jun 2022
Learning Enhanced Representations for Tabular Data via Neighborhood
  Propagation
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation
Kounianhua Du
Weinan Zhang
Ruiwen Zhou
Yangkun Wang
Xilong Zhao
Jiarui Jin
Quan Gan
Zheng-Wei Zhang
David Wipf
AI4TS
18
9
0
14 Jun 2022
Comprehensive Fair Meta-learned Recommender System
Comprehensive Fair Meta-learned Recommender System
Tianxin Wei
Jingrui He
FedML
FaML
OffRL
19
38
0
09 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated
  Ensemble Learning
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Meisam Hejazinia
Dzmitry Huba
Ilias Leontiadis
Kiwan Maeng
Mani Malek
Luca Melis
Ilya Mironov
Milad Nasr
Kaikai Wang
Carole-Jean Wu
FedML
9
5
0
07 Jun 2022
DeeprETA: An ETA Post-processing System at Scale
DeeprETA: An ETA Post-processing System at Scale
Xinyu Hu
Tanmay Binaykiya
Eric C. Frank
Olcay Cirit
20
12
0
05 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach
Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva
Mehak Preet Dhaliwal
Carole-Jean Wu
Julian McAuley
DD
31
28
0
03 Jun 2022
Good Intentions: Adaptive Parameter Management via Intent Signaling
Good Intentions: Adaptive Parameter Management via Intent Signaling
Alexander Renz-Wieland
Andreas Kieslinger
R. Gericke
Rainer Gemulla
Zoi Kaoudi
Volker Markl
12
1
0
01 Jun 2022
MACE: An Efficient Model-Agnostic Framework for Counterfactual
  Explanation
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation
Wenzhuo Yang
Jia Li
Caiming Xiong
S. Hoi
CML
23
13
0
31 May 2022
Towards Fair Federated Recommendation Learning: Characterizing the
  Inter-Dependence of System and Data Heterogeneity
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
Kiwan Maeng
Haiyu Lu
Luca Melis
John Nguyen
Michael G. Rabbat
Carole-Jean Wu
FedML
29
31
0
30 May 2022
Constrained Reinforcement Learning for Short Video Recommendation
Constrained Reinforcement Learning for Short Video Recommendation
Qingpeng Cai
Ruohan Zhan
Chi Zhang
Jie Zheng
Guangwei Ding
Pinghua Gong
Dong Zheng
Peng Jiang
20
6
0
26 May 2022
Differentially Private AUC Computation in Vertical Federated Learning
Differentially Private AUC Computation in Vertical Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Junyuan Xie
Di Wu
Chong-Jun Wang
FedML
48
5
0
24 May 2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR
  Prediction
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Yue Cao
Xiaojiang Zhou
Jiaqi Feng
Peihao Huang
Yao Xiao
Dayao Chen
Sheng Chen
82
39
0
20 May 2022
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural
  Predictions in Online Advertising
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
Penghui Wei
Weimin Zhang
Ruijie Hou
Jinquan Liu
Shaoguo Liu
Liang Wang
Bo Zheng
37
9
0
15 May 2022
Integrating User and Item Reviews in Deep Cooperative Neural Networks
  for Movie Recommendation
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation
Aristeidis Karras
Christos N. Karras
HAI
9
7
0
12 May 2022
Positive, Negative and Neutral: Modeling Implicit Feedback in
  Session-based News Recommendation
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation
Shansan Gong
Ke Zhu
9
34
0
12 May 2022
PTFlash : A deep learning framework for isothermal two-phase equilibrium
  calculations
PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations
J. Qu
T. Faney
J. D. Hemptinne
Soleiman Yousef
Patrick Gallinari
8
0
0
06 May 2022
Hybrid CNN Based Attention with Category Prior for User Image Behavior
  Modeling
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling
Xin Chen
Qingtao Tang
Ke Hu
Yue Xu
Shi Qiu
Jia Cheng
Jun Lei
23
4
0
05 May 2022
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online
  Video Services
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services
Fan Zhang
Qiuying Peng
Yu-Liang Wu
Zheng Pan
Rong Zeng
David Lin
Ye Qi
13
6
0
05 May 2022
Machine Learning based Framework for Robust Price-Sensitivity Estimation
  with Application to Airline Pricing
Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing
Ravi Kumar
Shahin Boluki
Karl Isler
Jonas Rauch
Darius Walczak
OOD
17
1
0
04 May 2022
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Zelong Li
Jianchao Ji
Yingqiang Ge
Yongfeng Zhang
OffRL
22
24
0
27 Apr 2022
Cross Pairwise Ranking for Unbiased Item Recommendation
Cross Pairwise Ranking for Unbiased Item Recommendation
Qi Wan
Xiangnan He
Xiang Wang
Jiancan Wu
Wei Guo
Ruiming Tang
CML
21
36
0
26 Apr 2022
User-Centric Conversational Recommendation with Multi-Aspect User
  Modeling
User-Centric Conversational Recommendation with Multi-Aspect User Modeling
Shuokai Li
Ruobing Xie
Yongchun Zhu
Xiang Ao
Fuzhen Zhuang
Qing He
39
50
0
20 Apr 2022
AutoField: Automating Feature Selection in Deep Recommender Systems
AutoField: Automating Feature Selection in Deep Recommender Systems
Yejing Wang
Xiang Zhao
Tong Bill Xu
Xianren Wu
18
65
0
19 Apr 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10
  minutes on 1 GPU
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU
Zangwei Zheng
Peng Xu
Xuan Zou
Da Tang
Zhen Li
...
Xiangzhuo Ding
Fuzhao Xue
Ziheng Qing
Youlong Cheng
Yang You
VLM
37
7
0
13 Apr 2022
PICASSO: Unleashing the Potential of GPU-centric Training for
  Wide-and-deep Recommender Systems
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
Yuanxing Zhang
Langshi Chen
Siran Yang
Man Yuan
Hui-juan Yi
...
Yong Li
Dingyang Zhang
Wei Lin
Lin Qu
Bo Zheng
27
32
0
11 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks
Explicit Feature Interaction-aware Graph Neural Networks
Minkyu Kim
Hyunseung Choi
Jinho Kim
GNN
22
6
0
07 Apr 2022
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start
  Recommendations
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations
K. Neupane
Ervine Zheng
Yu Kong
Qi Yu
16
15
0
03 Apr 2022
i-Razor: A Differentiable Neural Input Razor for Feature Selection and
  Dimension Search in DNN-Based Recommender Systems
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
Yao Yao
B. Liu
Haoxun He
Dakui Sheng
Ke Wang
Li Xiao
Huanhuan Cao
11
1
0
01 Apr 2022
Previous
123...789...171819
Next