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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
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for
  Click-Through Rate Prediction
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction
Yachen Yan
Liubo Li
14
3
0
06 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and
  bit-wise feature interactions
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions
Yachen Yan
Liubo Li
24
9
0
03 Jan 2023
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate
  Prediction
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction
Yachen Yan
Liubo Li
19
0
0
03 Jan 2023
RECOMED: A Comprehensive Pharmaceutical Recommendation System
RECOMED: A Comprehensive Pharmaceutical Recommendation System
Mariam Zomorodi
Ismail Ghodsollahee
Jennifer H. Martin
N. Talley
V. Salari
Pawel Plawiak
K. Rahimi
U. R. Acharya
9
0
0
31 Dec 2022
Data Leakage via Access Patterns of Sparse Features in Deep
  Learning-based Recommendation Systems
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
H. Hashemi
Wenjie Xiong
Liu Ke
Kiwan Maeng
M. Annavaram
G. E. Suh
Hsien-Hsin S. Lee
16
6
0
12 Dec 2022
Adaptive Low-Precision Training for Embeddings in Click-Through Rate
  Prediction
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
Shiwei Li
Huifeng Guo
Luyao Hou
Wei Zhang
Xing Tang
Ruiming Tang
Rui Zhang
Rui Li
MQ
95
7
0
12 Dec 2022
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors
Giovanni Apruzzese
V. S. Subrahmanian
AAML
31
20
0
11 Dec 2022
Adaptive Risk-Aware Bidding with Budget Constraint in Display
  Advertising
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising
Zhimeng Jiang
Kaixiong Zhou
Mi Zhang
Rui Chen
Xia Hu
Soo-Hyun Choi
14
2
0
06 Dec 2022
Meta-Shop: Improving Item Advertisement For Small Businesses
Meta-Shop: Improving Item Advertisement For Small Businesses
Yang Shi
Guannan Liang
Young-joo Chung
22
0
0
02 Dec 2022
DisaggRec: Architecting Disaggregated Systems for Large-Scale
  Personalized Recommendation
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation
Liu Ke
Xuan Zhang
Benjamin C. Lee
G. E. Suh
Hsien-Hsin S. Lee
41
8
0
02 Dec 2022
CL4CTR: A Contrastive Learning Framework for CTR Prediction
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fang Wang
Yingxu Wang
Dongsheng Li
Hansu Gu
T. Lu
Peng-Zhen Zhang
Ning Gu
SSL
18
42
0
01 Dec 2022
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
Tunhou Zhang
Mingyuan Ma
Feng Yan
H. Li
Yiran Chen
3DPC
25
2
0
28 Nov 2022
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering
  Service
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service
Boya Du
Shaochuan Lin
Jiong Gao
Xiyu Ji
Mengya Wang
Taotao Zhou
Hengxu He
Jia Jia
Ning Hu
20
6
0
22 Nov 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via
  Knowledge Distillation
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Zhen Tian
Ting Bai
Ziyan Zhang
Zhiyuan Xu
Kangyi Lin
Ji-Rong Wen
Wayne Xin Zhao
21
18
0
21 Nov 2022
Deep Intention-Aware Network for Click-Through Rate Prediction
Deep Intention-Aware Network for Click-Through Rate Prediction
Yaxian Xia
Yinhao Cao
Sihao Hu
Tong Liu
Lingling Lu
20
4
0
16 Nov 2022
FolkScope: Intention Knowledge Graph Construction for E-commerce
  Commonsense Discovery
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery
Changlong Yu
Weiqi Wang
Xin Liu
Jiaxin Bai
Yangqiu Song
Zheng Li
Yifan Gao
Tianyu Cao
Bing Yin
47
22
0
15 Nov 2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click
  Conversion Rate Prediction
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction
Quanyu Dai
Haoxuan Li
Peng Wu
Zhenhua Dong
Xiao-Hua Zhou
Rui Zhang
Rui zhang
Jie Sun
27
50
0
12 Nov 2022
Situating Recommender Systems in Practice: Towards Inductive Learning
  and Incremental Updates
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates
Tobias Schnabel
Mengting Wan
Longqi Yang
HAI
27
8
0
11 Nov 2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Jiaheng Xie
Xiaohang Zhao
Xiang Liu
Xiao Fang
OOD
36
2
0
08 Nov 2022
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in
  CTR Prediction
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction
Yanyan Shen
Lifan Zhao
Weiyu Cheng
Zibin Zhang
Wenwen Zhou
Kangyi Lin
14
5
0
28 Oct 2022
Risk-Aware Bid Optimization for Online Display Advertisement
Risk-Aware Bid Optimization for Online Display Advertisement
Rui Fan
Erick Delage
11
3
0
28 Oct 2022
AutoAttention: Automatic Field Pair Selection for Attention in User
  Behavior Modeling
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling
Zuowu Zheng
Xiaofeng Gao
Junwei Pan
Qicong Luo
Guihai Chen
Dapeng Liu
Jie Jiang
15
5
0
27 Oct 2022
MemoNet: Memorizing All Cross Features' Representations Efficiently via
  Multi-Hash Codebook Network for CTR Prediction
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction
P. Zhang
Junlin Zhang
18
3
0
25 Oct 2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
Yucheng Ding
Chaoyue Niu
Fan Wu
Shaojie Tang
Chengfei Lyu
Guihai Chen
16
2
0
21 Oct 2022
Deep Multi-Representation Model for Click-Through Rate Prediction
Deep Multi-Representation Model for Click-Through Rate Prediction
Shereen Elsayed
Lars Schmidt-Thieme
3DV
9
2
0
18 Oct 2022
Merlin HugeCTR: GPU-accelerated Recommender System Training and
  Inference
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference
Zehuan Wang
Yingcan Wei
Minseok Lee
Matthias Langer
F. Yu
...
Daniel G. Abel
Xu Guo
Jianbing Dong
Ji Shi
Kunlun Li
GNN
LRM
19
32
0
17 Oct 2022
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe
  Completion using Cascaded Set Transformer
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer
Mogan Gim
Donghee Choi
Kana Maruyama
Jihun Choi
Hajung Kim
Donghyeon Park
Jaewoo Kang
38
5
0
14 Oct 2022
KAIROS: Building Cost-Efficient Machine Learning Inference Systems with
  Heterogeneous Cloud Resources
KAIROS: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources
Baolin Li
S. Samsi
V. Gadepally
Devesh Tiwari
19
11
0
12 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of
  Modern Recommender Systems
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Zhengbang Zhu
Rongjun Qin
Junjie Huang
Xinyi Dai
Yang Yu
Yong Yu
Weinan Zhang
39
2
0
11 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR
  Prediction
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction
Wenlong Deng
Lang Lang
Z. Liu
B. Liu
21
0
0
09 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender
  Systems
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Daochen Zha
Louis Feng
Qiaoyu Tan
Zirui Liu
Kwei-Herng Lai
Bhargav Bhushanam
Yuandong Tian
A. Kejariwal
Xia Hu
LMTD
OffRL
15
28
0
05 Oct 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended
  Version)
IGNiteR: News Recommendation in Microblogging Applications (Extended Version)
Yuting Feng
Bogdan Cautis
GNN
AI4TS
20
3
0
04 Oct 2022
Higher-order Neural Additive Models: An Interpretable Machine Learning
  Model with Feature Interactions
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
Minkyu Kim
Hyunjin Choi
Jinho Kim
FAtt
30
8
0
30 Sep 2022
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
Weijie Zhao
Xuewu Jiao
Xinsheng Luo
Jingxue Li
Belhal Karimi
Ping Li
35
2
0
26 Sep 2022
Efficient Long Sequential User Data Modeling for Click-Through Rate
  Prediction
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction
Qiwei Chen
Yue Xu
Changhua Pei
Shanshan Lv
Tao Zhuang
Junfeng Ge
3DV
11
3
0
25 Sep 2022
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Tan Yu
Zhipeng Jin
Jie Liu
Yi Yang
Hongliang Fei
Ping Li
36
8
0
23 Sep 2022
Feature embedding in click-through rate prediction
Feature embedding in click-through rate prediction
S. Pahor
Davorin Kopic
J. Demšar
LRM
13
0
0
20 Sep 2022
An Embedding-Based Grocery Search Model at Instacart
An Embedding-Based Grocery Search Model at Instacart
Yuqing Xie
Taesik Na
X. Xiao
Saurav Manchanda
Young Rao
Zhihong Xu
Guanghua Shu
Esther Vasiete
Tejaswi Tenneti
Haixun Wang
DML
RALM
21
6
0
12 Sep 2022
Factual and Informative Review Generation for Explainable Recommendation
Factual and Informative Review Generation for Explainable Recommendation
Zhouhang Xie
Sameer Singh
Julian McAuley
Bodhisattwa Prasad Majumder
39
26
0
12 Sep 2022
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for
  CTR Prediction
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction
P. Zhang
Zheng Zheng
Junlin Zhang
34
10
0
12 Sep 2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through
  Rate Prediction Models
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models
Zhaorui Zhang
Xiang-Rong Sheng
Yujing Zhang
Biye Jiang
Shuguang Han
Hongbo Deng
Bo Zheng
CML
33
26
0
04 Sep 2022
An Incremental Learning framework for Large-scale CTR Prediction
An Incremental Learning framework for Large-scale CTR Prediction
Petros Katsileros
Nikiforos Mandilaras
Dimitrios Mallis
Vassilis Pitsikalis
Stavros Theodorakis
Gil Chamiel Deeplab - Greece
CLL
6
9
0
01 Sep 2022
Convergence Rates of Training Deep Neural Networks via Alternating
  Minimization Methods
Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods
Jintao Xu
Chenglong Bao
W. Xing
8
3
0
30 Aug 2022
DPAUC: Differentially Private AUC Computation in Federated Learning
DPAUC: Differentially Private AUC Computation in Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Junyuan Xie
Di Wu
Chong-Jun Wang
FedML
30
11
0
25 Aug 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture
  Search (MANAS)
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
H. Chen
Yunqi Li
He Zhu
Yongfeng Zhang
31
5
0
23 Aug 2022
Finding Emotions in Faces: A Meta-Classifier
Finding Emotions in Faces: A Meta-Classifier
Siddartha Dalal
Sierra Vo
Michael Lesk
W. Yuan
CVBM
24
0
0
20 Aug 2022
Personalizing Intervened Network for Long-tailed Sequential User
  Behavior Modeling
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
Zheqi Lv
Feng Wang
Shengyu Zhang
Kun Kuang
Hongxia Yang
Fei Wu
29
8
0
19 Aug 2022
Brain Topography Adaptive Network for Satisfaction Modeling in
  Interactive Information Access System
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System
Ziyi Ye
Xiaohui Xie
Yiqun Liu
Zhihong Wang
Xuesong Chen
M. Zhang
Shaoping Ma
19
8
0
17 Aug 2022
AutoShard: Automated Embedding Table Sharding for Recommender Systems
AutoShard: Automated Embedding Table Sharding for Recommender Systems
Daochen Zha
Louis Feng
Bhargav Bhushanam
Dhruv Choudhary
Jade Nie
Yuandong Tian
Jay Chae
Yi-An Ma
A. Kejariwal
Xia Hu
24
30
0
12 Aug 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid
  Model
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
Xiang-Rong Sheng
Jingyue Gao
Yueyao Cheng
Siran Yang
Shuguang Han
Hongbo Deng
Yuning Jiang
Jian Xu
Bo Zheng
6
26
0
12 Aug 2022
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