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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
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
210
93
0
22 Aug 2023
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant
  Recommendations
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations
Wei Dai
Yingmin Su
Xiaofeng Pan
56
1
0
21 Aug 2023
Adversarial Collaborative Filtering for Free
Adversarial Collaborative Filtering for Free
Huiyuan Chen
Xiaoting Li
Vivian Lai
Chin-Chia Michael Yeh
Yujie Fan
Yan Zheng
Mahashweta Das
Hao Yang
AAML
56
6
0
20 Aug 2023
A Model-Agnostic Framework for Recommendation via Interest-aware Item
  Embeddings
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings
Amit Jaiswal
Yu Xiong
27
1
0
17 Aug 2023
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model
  with Non-textual Features for CTR Prediction
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction
Dong Wang
Kave Salamatian
Yunqing Xia
Weiwei Deng
Qi Zhang
56
14
0
17 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in
  Recommender Systems?
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Davide Buffelli
Ashish Gupta
Agnieszka Strzalka
Vassilis Plachouras
OffRLLRM
80
2
0
16 Aug 2023
Backpropagation Path Search On Adversarial Transferability
Backpropagation Path Search On Adversarial Transferability
Zhuoer Xu
Zhangxuan Gu
Jianping Zhang
Shiwen Cui
Changhua Meng
Weiqiang Wang
AAML
74
5
0
15 Aug 2023
FeatGeNN: Improving Model Performance for Tabular Data with
  Correlation-based Feature Extraction
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction
S. Silva
R. Silva
35
0
0
15 Aug 2023
Deep Context Interest Network for Click-Through Rate Prediction
Deep Context Interest Network for Click-Through Rate Prediction
Xuyang Hou
Zhe Wang
Qi Liu
Tan Qu
Jia Cheng
Jun Lei
3DV
38
7
0
11 Aug 2023
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction
  in On-Demand Food Delivery Services
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services
Guyu Jiang
Xiaoyun Li
Rongrong Jing
Ruoqi Zhao
Xingliang Ni
Guodong Cao
Ning Hu
60
3
0
10 Aug 2023
TBIN: Modeling Long Textual Behavior Data for CTR Prediction
TBIN: Modeling Long Textual Behavior Data for CTR Prediction
Shuwei Chen
Xiang Li
Jian Dong
Jin Zhang
Yongkang Wang
Xingxing Wang
74
3
0
09 Aug 2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction
  over Real-World Financial Data
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Yancheng Liang
Jiajie Zhang
Hui Li
Xiaochen Liu
Yi Hu
Yonghuan Wu
Jinyao Zhang
Yongyan Liu
Yi Wu
52
2
0
07 Aug 2023
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement
  Framework for Learning-to-Rank
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank
Jiarui Jin
Xianyu Chen
Weinan Zhang
Mengyue Yang
Yang Wang
Yali Du
Yong Yu
Jun Wang
120
0
0
05 Aug 2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate
  Prediction
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
Jianghao Lin
Yanru Qu
Wei Guo
Xinyi Dai
Ruiming Tang
Yong Yu
Weinan Zhang
72
21
0
03 Aug 2023
ADRNet: A Generalized Collaborative Filtering Framework Combining
  Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction
Haoxuan Li
Taojun Hu
Zetong Xiong
Chunyuan Zheng
Fuli Feng
Xiangnan He
Xiao-Hua Zhou
MedIm
33
1
0
03 Aug 2023
Weighted Multi-Level Feature Factorization for App ads CTR and
  installation prediction
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction
J. M. Rodríguez
Antonela Tommasel
OffRL
57
1
0
03 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label
  scarcity
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou
K. K. Thekumparampil
Michael Shavlovsky
Giulia Fanti
Yesh Dattatreya
Sujay Sanghavi
LMTD
139
1
0
31 Jul 2023
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems
  with Context-Based Prediction Models
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models
Jan Hartman
Assaf Klein
Davorin Kopic
Natalia Silberstein
LRM
42
0
0
25 Jul 2023
NCART: Neural Classification and Regression Tree for Tabular Data
NCART: Neural Classification and Regression Tree for Tabular Data
Jiaqi Luo
Shi-qian Xu
57
12
0
23 Jul 2023
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained
  Foundation Models
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models
Yuwei Yin
Yazheng Yang
Jian Yang
Qi Liu
66
17
0
22 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data
Exploiting Field Dependencies for Learning on Categorical Data
Zhibin Li
Piotr Koniusz
Lu Zhang
D. Pagendam
Peyman Moghadam
54
4
0
18 Jul 2023
Evaluating and Enhancing Robustness of Deep Recommendation Systems
  Against Hardware Errors
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
Dongning Ma
Xun Jiao
Fred Lin
Mengshi Zhang
Alban Desmaison
Thomas Sellinger
Daniel Moore
Sriram Sankar
62
2
0
17 Jul 2023
Going Beyond Local: Global Graph-Enhanced Personalized News
  Recommendations
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
Boming Yang
Dairui Liu
Toyotaro Suzumura
Ruihai Dong
Irene Li
81
31
0
13 Jul 2023
Cross-Element Combinatorial Selection for Multi-Element Creative in
  Display Advertising
Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising
Wei Emma Zhang
P. Zhang
Jian Dong
Yongkang Wang
Peng Zhang
Bo Zhang
Xingxing Wang
Dong Wang
47
0
0
04 Jul 2023
OpenSiteRec: An Open Dataset for Site Recommendation
OpenSiteRec: An Open Dataset for Site Recommendation
Xinhang Li
Xiang Zhao
Yejing Wang
Yu Liu
Yong Li
Cheng Long
Yong Zhang
Chunxiao Xing
47
0
0
03 Jul 2023
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A
  Dual Optimization Perspective
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective
Meng Xiao
Dongjie Wang
Min-Ying Wu
Kunpeng Liu
Hui Xiong
Yuanchun Zhou
Yanjie Fu
63
21
0
29 Jun 2023
Multi-Scenario Ranking with Adaptive Feature Learning
Multi-Scenario Ranking with Adaptive Feature Learning
Yu Tian
Bofang Li
Si Chen
Xubin Li
Hongbo Deng
Jian Xu
Bo Zheng
Qian Wang
Chenliang Li
75
11
0
29 Jun 2023
Confidence Ranking for CTR Prediction
Confidence Ranking for CTR Prediction
Jian Zhu
Congcong Liu
Pei Wang
Xiwei Zhao
Zhangang Lin
Jingping Shao
53
2
0
28 Jun 2023
Blockwise Feature Interaction in Recommendation Systems
Blockwise Feature Interaction in Recommendation Systems
Weijie Zhao
Ping Li
70
1
0
28 Jun 2023
Scalable Neural Contextual Bandit for Recommender Systems
Scalable Neural Contextual Bandit for Recommender Systems
Zheqing Zhu
Benjamin Van Roy
OffRL
86
9
0
26 Jun 2023
A Collaborative Transfer Learning Framework for Cross-domain
  Recommendation
A Collaborative Transfer Learning Framework for Cross-domain Recommendation
Wei Emma Zhang
Peng Zhang
Bo Zhang
Xingxing Wang
Dong Wang
60
18
0
26 Jun 2023
Contrastive Multi-view Framework for Customer Lifetime Value Prediction
Contrastive Multi-view Framework for Customer Lifetime Value Prediction
Chuhan Wu
Jingjie Li
Qinglin Jia
Hong Zhu
Yuan Fang
Ruiming Tang
75
2
0
26 Jun 2023
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction
  with Multimodal Transformer
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer
Jiaxin Deng
Dong Shen
Shiyao Wang
Xiangyu Wu
Fan Yang
Guorui Zhou
Gaofeng Meng
68
1
0
26 Jun 2023
NFTs to MARS: Multi-Attention Recommender System for NFTs
NFTs to MARS: Multi-Attention Recommender System for NFTs
Seonmi Kim
Youngbin Lee
Yejin Kim
J. Hong
Yongjae Lee
39
0
0
13 Jun 2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin
Xinyi Dai
Yunjia Xi
Weiwen Liu
Bo Chen
...
Chenxu Zhu
Huifeng Guo
Yong Yu
Ruiming Tang
Weinan Zhang
LRM
187
224
0
09 Jun 2023
Revisiting Neural Retrieval on Accelerators
Revisiting Neural Retrieval on Accelerators
Jiaqi Zhai
Zhaojie Gong
Yueming Wang
Xiao Sun
Zheng Yan
Fu Li
Xing Liu
87
12
0
06 Jun 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR
  Prediction in Taobao
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Jingyue Gao
Shuguang Han
Ziru Xu
Siran Yang
Yuning Jiang
Jian Xu
Bo Zheng
87
14
0
06 Jun 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking
  Intent in Recommender Systems
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems
Pan Li
Yuyan Wang
Ed H. Chi
Minmin Chen
40
2
0
02 Jun 2023
Task Relation-aware Continual User Representation Learning
Task Relation-aware Continual User Representation Learning
Sein Kim
Namkyeong Lee
Donghyun Kim
Min-Chul Yang
Chanyoung Park
CLL
73
8
0
01 Jun 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing
Explicit Feature Interaction-aware Uplift Network for Online Marketing
Dugang Liu
Xing Tang
Han Gao
Fuyuan Lyu
Xiuqiang He
80
16
0
01 Jun 2023
TransAct: Transformer-based Realtime User Action Model for
  Recommendation at Pinterest
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
Xue Xia
Pong Eksombatchai
Nikil Pancha
Dhruvil Badani
Po-Wei Wang
Neng Gu
Saurabh Vishwas Joshi
Nazanin Farahpour
Zhiyuan Zhang
Andrew Zhai
AI4TS
50
15
0
31 May 2023
Beyond Rankings: Exploring the Impact of SERP Features on Organic
  Click-through Rates
Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates
Erik Fubel
Niclas Michael Groll
Patrick Gundlach
Qiwei Han
Maximilian Kaiser
29
5
0
31 May 2023
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models
Zhaocheng Liu
Zhongxiang Fan
Jian Liang
Dongying Kong
Han Li
63
1
0
31 May 2023
Graph Exploration Matters: Improving both individual-level and
  system-level diversity in WeChat Feed Recommender
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender
Shuai Yang
Lixin Zhang
Feng Xia
Leyu Lin
36
1
0
29 May 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Xiaohui Chen
Jiankai Sun
Taiqing Wang
Ruocheng Guo
Liping Liu
Aonan Zhang
45
3
0
25 May 2023
TabGSL: Graph Structure Learning for Tabular Data Prediction
TabGSL: Graph Structure Learning for Tabular Data Prediction
Jay Chiehen Liao
Cheng Li
LMTD
54
5
0
25 May 2023
TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation
TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation
Yiheng Jiang
Yuanbo Xu
Yongjian Yang
Funing Yang
Pengyang Wang
Hui Xiong
98
2
0
24 May 2023
Evaluating Privacy Leakage in Split Learning
Evaluating Privacy Leakage in Split Learning
Xinchi Qiu
Ilias Leontiadis
Luca Melis
Alex Sablayrolles
Pierre Stock
115
5
0
22 May 2023
Exploring the cloud of feature interaction scores in a Rashomon set
Exploring the cloud of feature interaction scores in a Rashomon set
Sichao Li
Rong Wang
Quanling Deng
Amanda S. Barnard
59
5
0
17 May 2023
FedPDD: A Privacy-preserving Double Distillation Framework for
  Cross-silo Federated Recommendation
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
Sheng Wan
Dashan Gao
Hanlin Gu
Daning Hu
FedML
65
7
0
09 May 2023
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