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DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

13 March 2017
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
ArXiv (abs)PDFHTML

Papers citing "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction"

50 / 695 papers shown
Title
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Hu Liu
Jing Lu
Xiwei Zhao
Sulong Xu
Hao Peng
...
Zehua Zhang
Jian Li
Junsheng Jin
Yongjun Bao
Weipeng P. Yan
55
23
0
02 Oct 2020
Interpretable Machine Learning for COVID-19: An Empirical Study on
  Severity Prediction Task
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
Han-Ching Wu
Wenjie Ruan
Jiangtao Wang
Dingchang Zheng
Bei Liu
...
Xiangfei Chai
Jian Chen
Kunwei Li
Shaolin Li
A. Helal
87
27
0
30 Sep 2020
An Exponential Factorization Machine with Percentage Error Minimization
  to Retail Sales Forecasting
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting
Chongshou Li
Brenda Cheang
Zhixing Luo
Andrew Lim
23
7
0
22 Sep 2020
div2vec: Diversity-Emphasized Node Embedding
div2vec: Diversity-Emphasized Node Embedding
Jisu Jeong
Jeong-Min Yun
Hongi Keam
Young-Jin Park
Zimin Park
Junki Cho
52
5
0
21 Sep 2020
Cross-Modal Alignment with Mixture Experts Neural Network for
  Intral-City Retail Recommendation
Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation
Po Li
Lei Li
Yanzhe Fu
Jun Rong
Yu Zhang
MoE
45
0
0
17 Sep 2020
Field-Embedded Factorization Machines for Click-through rate prediction
Field-Embedded Factorization Machines for Click-through rate prediction
Harshit Pande
81
15
0
13 Sep 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction
Jieming Zhu
Jinyang Liu
Shuai Yang
Qi Zhang
Xiuqiang He
96
130
0
12 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
CatGCN: Graph Convolutional Networks with Categorical Node Features
Weijia Chen
Fuli Feng
Qifan Wang
Xiangnan He
Chonggang Song
Guohui Ling
Yongdong Zhang
GNN
62
23
0
11 Sep 2020
Boosting Retailer Revenue by Generated Optimized Combined Multiple
  Digital Marketing Campaigns
Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns
Yafei Xu
Tian Xie
Yu Zhang
25
1
0
09 Sep 2020
Implicit Feedback Deep Collaborative Filtering Product Recommendation
  System
Implicit Feedback Deep Collaborative Filtering Product Recommendation System
K. Bhaskar
D. Kundur
Y. Lawryshyn
BDL
36
3
0
08 Sep 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random
  Feedback
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
Zifeng Wang
Xi Chen
Rui Wen
Shao-Lun Huang
E. Kuruoglu
Yefeng Zheng
BDLCMLOffRL
80
84
0
06 Sep 2020
A Practical Incremental Method to Train Deep CTR Models
A Practical Incremental Method to Train Deep CTR Models
Yichao Wang
Huifeng Guo
Ruiming Tang
Zhirong Liu
Xiuqiang He
CLL
67
31
0
04 Sep 2020
Boosting Share Routing for Multi-task Learning
Boosting Share Routing for Multi-task Learning
Xiaokai Chen
Xiaoguang Gu
Libo Fu
MoE
23
10
0
01 Sep 2020
Time-based Sequence Model for Personalization and Recommendation Systems
Time-based Sequence Model for Personalization and Recommendation Systems
T. Ishkhanov
Maxim Naumov
Xianjie Chen
Yan Zhu
Yuan Zhong
A. Azzolini
Chonglin Sun
Frank Jiang
Andrey Malevich
Liang Xiong
70
17
0
27 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender
  Systems
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Yishi Xu
Yingxue Zhang
Wei Guo
Huifeng Guo
Ruiming Tang
Mark Coates
CLL
92
82
0
25 Aug 2020
Adaptive Serverless Learning
Adaptive Serverless Learning
Hongchang Gao
Heng-Chiao Huang
32
3
0
24 Aug 2020
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular
  Data
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data
Zhaocheng Liu
Qiang Liu
Haoli Zhang
Yuntian Chen
84
13
0
22 Aug 2020
A Deep Prediction Network for Understanding Advertiser Intent and
  Satisfaction
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
Liyi Guo
Rui Lu
Haoqi Zhang
Junqi Jin
Zhenzhe Zheng
...
Haiyang Xu
Han Li
Wen-kai Lu
Jian Xu
Kun Gai
66
12
0
20 Aug 2020
Modeling the Field Value Variations and Field Interactions
  Simultaneously for Fraud Detection
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection
Dongbo Xi
Bowen Song
Fuzhen Zhuang
Yongchun Zhu
Shuai Chen
Tianyi Zhang
Yuan Qi
Qing He
42
10
0
08 Aug 2020
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate
  Prediction
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
W. Ouyang
Xiuwu Zhang
Lei Zhao
Jinmei Luo
Yu Zhang
Heng Zou
Zhaojie Liu
Yanlong Du
56
71
0
07 Aug 2020
UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural
  Networks
UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks
Bo Huang
Ye Bi
Zhenyu Wu
Jianming Wang
Jing Xiao
GNN
36
5
0
06 Aug 2020
TPG-DNN: A Method for User Intent Prediction Based on Total Probability
  Formula and GRU Loss with Multi-task Learning
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning
Jingxing Jiang
Zhubin Wang
Fei Fang
Binqiang Zhao
27
1
0
05 Aug 2020
Detecting Beneficial Feature Interactions for Recommender Systems
Detecting Beneficial Feature Interactions for Recommender Systems
Yixin Su
Rui Zhang
S. Erfani
Zhenghua Xu
120
75
0
02 Aug 2020
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
60
76
0
31 Jul 2020
Evolving Context-Aware Recommender Systems With Users in Mind
Evolving Context-Aware Recommender Systems With Users in Mind
Amit Livne
Eliad Shem Tov
Adir Solomon
Achiya Elyasaf
Bracha Shapira
Lior Rokach
52
23
0
30 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
106
28
0
29 Jul 2020
Stochastic Normalized Gradient Descent with Momentum for Large-Batch
  Training
Stochastic Normalized Gradient Descent with Momentum for Large-Batch Training
Shen-Yi Zhao
Chang-Wei Shi
Yin-Peng Xie
Wu-Jun Li
ODL
87
10
0
28 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
26
4
0
26 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
74
8
0
24 Jul 2020
Deep Retrieval: Learning A Retrievable Structure for Large-Scale
  Recommendations
Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations
Weihao Gao
Xiangjun Fan
Chong-Jun Wang
Jiankai Sun
Kai Jia
Wen Xiao
Ruofan Ding
Xingyan Bin
Hui Yang
Xiaobing Liu
CML
43
22
0
12 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
137
34
0
06 Jul 2020
Student-Teacher Curriculum Learning via Reinforcement Learning:
  Predicting Hospital Inpatient Admission Location
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Rasheed el-Bouri
D. Eyre
Peter Watkinson
T. Zhu
David Clifton
OOD
77
34
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
70
87
0
29 Jun 2020
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Wenhui Yu
Zheng Qin
NoLa
74
51
0
28 Jun 2020
AutoRec: An Automated Recommender System
AutoRec: An Automated Recommender System
Ting-Hsiang Wang
Qingquan Song
Xiaotian Han
Zirui Liu
Haifeng Jin
Helen Zhou
77
21
0
26 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
127
64
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
90
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
85
60
0
19 Jun 2020
How does this interaction affect me? Interpretable attribution for
  feature interactions
How does this interaction affect me? Interpretable attribution for feature interactions
Michael Tsang
Sirisha Rambhatla
Yan Liu
FAtt
75
88
0
19 Jun 2020
Learning Effective Representations for Person-Job Fit by Feature Fusion
Learning Effective Representations for Person-Job Fit by Feature Fusion
Jun-hai Jiang
Songyun Ye
Wei Wang
Jingran Xu
Xia Luo
FaML
44
48
0
12 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
114
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
52
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
75
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
82
3
0
07 Jun 2020
Chromatic Learning for Sparse Datasets
Chromatic Learning for Sparse Datasets
Vladimir Feinberg
Peter Bailis
43
0
0
06 Jun 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
97
122
0
23 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
52
36
0
20 May 2020
Controllable Multi-Interest Framework for Recommendation
Controllable Multi-Interest Framework for Recommendation
Yukuo Cen
Jianwei Zhang
Xu Zou
Chang Zhou
Hongxia Yang
Jie Tang
86
274
0
19 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
33
2
0
09 May 2020
DS-FACTO: Doubly Separable Factorization Machines
DS-FACTO: Doubly Separable Factorization Machines
Parameswaran Raman
S.V.N. Vishwanathan
26
0
0
29 Apr 2020
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