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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
ArXivPDFHTML

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

50 / 678 papers shown
Title
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
20
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
25
3
0
25 Oct 2022
Towards Robust Recommender Systems via Triple Cooperative Defense
Towards Robust Recommender Systems via Triple Cooperative Defense
Qingyang Wang
Defu Lian
Chenwang Wu
Enhong Chen
AAML
16
4
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
19
2
0
21 Oct 2022
Tele-Knowledge Pre-training for Fault Analysis
Tele-Knowledge Pre-training for Fault Analysis
Zhuo Chen
Wen Zhang
Yufen Huang
Mingyang Chen
Yuxia Geng
...
Song Jiang
Zhaoyang Lian
Y. Li
Lei Cheng
Hua-zeng Chen
49
17
0
20 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
17
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
25
32
0
17 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
44
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
Ziqiang Liu
B. Liu
26
0
0
09 Oct 2022
A2: Efficient Automated Attacker for Boosting Adversarial Training
A2: Efficient Automated Attacker for Boosting Adversarial Training
Zhuoer Xu
Guanghui Zhu
Changhua Meng
Shiwen Cui
ZhenZhe Ying
Weiqiang Wang
GU Ming
Yihua Huang
AAML
36
13
0
07 Oct 2022
Digital Human Interactive Recommendation Decision-Making Based on
  Reinforcement Learning
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning
Junwu Xiong
Xiaoyun Feng
Yunzhou Shi
James Y. Zhang
Zhongzhou Zhao
Wei Zhou
OffRL
13
0
0
06 Oct 2022
VLSNR:Vision-Linguistics Coordination Time Sequence-aware News
  Recommendation
VLSNR:Vision-Linguistics Coordination Time Sequence-aware News Recommendation
Songhao Han
Wei Huang
Xiaotian Luan Beihang University
AI4TS
36
3
0
06 Oct 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended
  Version)
IGNiteR: News Recommendation in Microblogging Applications (Extended Version)
Yuting Feng
Bogdan Cautis
GNN
AI4TS
31
3
0
04 Oct 2022
Vertical Semi-Federated Learning for Efficient Online Advertising
Vertical Semi-Federated Learning for Efficient Online Advertising
Wenjie Li
Qiaolin Xia
Hao Cheng
Kouying Xue
Shutao Xia
FedML
42
14
0
30 Sep 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
38
8
0
30 Sep 2022
Efficient Graph based Recommender System with Weighted Averaging of
  Messages
Efficient Graph based Recommender System with Weighted Averaging of Messages
Faizan Ahemad
18
1
0
30 Sep 2022
EasyRec: An easy-to-use, extendable and efficient framework for building
  industrial recommendation systems
EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems
Mengli Cheng
Yue Gao
Guoqiang Liu
Hongsheng Jin
Xiaowen Zhang
29
4
0
26 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
43
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
20
3
0
25 Sep 2022
Flattened Graph Convolutional Networks For Recommendation
Flattened Graph Convolutional Networks For Recommendation
Yue Xu
Hao Chen
Zengde Deng
Yuan-Qi Bei
Feiran Huang
BDL
GNN
21
1
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
39
8
0
23 Sep 2022
Collaborative Anomaly Detection
Collaborative Anomaly Detection
Ke Bai
Aonan Zhang
Zhizhong Li
Ricardo Heano
Chong-Jun Wang
Lawrence Carin
16
1
0
20 Sep 2022
Feature embedding in click-through rate prediction
Feature embedding in click-through rate prediction
S. Pahor
Davorin Kopic
J. Demšar
LRM
15
0
0
20 Sep 2022
Human Pose Driven Object Effects Recommendation
Human Pose Driven Object Effects Recommendation
Zhaoxin Fan
Feng Li
Hongyan Liu
Jun He
Xiaoyong Du
11
2
0
17 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
42
36
0
04 Sep 2022
Future Gradient Descent for Adapting the Temporal Shifting Data
  Distribution in Online Recommendation Systems
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems
Mao Ye
Ruichen Jiang
Haoxiang Wang
Dhruv Choudhary
Xiaocong Du
Bhargav Bhushanam
Aryan Mokhtari
A. Kejariwal
Qiang Liu
TTA
OOD
AI4TS
45
8
0
02 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
11
9
0
01 Sep 2022
Billion-user Customer Lifetime Value Prediction: An Industrial-scale
  Solution from Kuaishou
Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou
Kunpeng Li
Guangcui Shao
Naijun Yang
Xiao Fang
Yang Song
26
14
0
29 Aug 2022
Dynamic collaborative filtering Thompson Sampling for cross-domain
  advertisements recommendation
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation
Shion Ishikawa
Young-joo Chung
Yuya Hirate
14
1
0
25 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
37
8
0
19 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
21
26
0
12 Aug 2022
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
27
9
0
08 Aug 2022
GREASE: Generate Factual and Counterfactual Explanations for GNN-based
  Recommendations
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Ziheng Chen
Fabrizio Silvestri
Jia Wang
Yongfeng Zhang
Zhenhua Huang
H. Ahn
Gabriele Tolomei
CML
30
27
0
04 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
12
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
13
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
21
0
0
27 Jul 2022
The trade-offs of model size in large recommendation models : A 10000
  $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)
The trade-offs of model size in large recommendation models : A 10000 ×\times× compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)
Aditya Desai
Anshumali Shrivastava
AI4CE
20
3
0
21 Jul 2022
Data-Centric Epidemic Forecasting: A Survey
Data-Centric Epidemic Forecasting: A Survey
Alexander Rodríguez
Harshavardhan Kamarthi
Pulak Agarwal
Javen Ho
Mira Patel
Suchet Sapre
B. Prakash
OOD
31
18
0
19 Jul 2022
Why do tree-based models still outperform deep learning on tabular data?
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn
Edouard Oyallon
Gaël Varoquaux
LMTD
35
357
0
18 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
33
17
0
14 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
30
17
0
07 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
107
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
30
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
36
6
0
28 Jun 2022
Functional Optimization Reinforcement Learning for Real-Time Bidding
Functional Optimization Reinforcement Learning for Real-Time Bidding
Yining Lu
Chang-Tien Lu
Naina Bandyopadhyay
M. Kumar
Gaurav Gupta
14
1
0
25 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
17
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
16
4
0
17 Jun 2022
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