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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
Polyhedral Conic Classifier for CTR Prediction
Polyhedral Conic Classifier for CTR Prediction
Beyza Türkmen
Ramazan Tarik Türksoy
Hasan Saribas
Hakan Çevikalp
68
0
0
06 Jun 2024
Dynamic and Adaptive Feature Generation with LLM
Dynamic and Adaptive Feature Generation with LLM
Xinhao Zhang
Jinghan Zhang
Banafsheh Rekabdar
Yuanchun Zhou
Pengfei Wang
Kunpeng Liu
109
22
0
04 Jun 2024
Cognitive Evolutionary Learning to Select Feature Interactions for
  Recommender Systems
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
Runlong Yu
Qixiang Shao
Qi Liu
Huan Liu
Enhong Chen
75
0
0
29 May 2024
Unified Low-rank Compression Framework for Click-through Rate Prediction
Unified Low-rank Compression Framework for Click-through Rate Prediction
Hao Yu
Minghao Fu
Jiandong Ding
Yusheng Zhou
Jianxin Wu
55
0
0
28 May 2024
A Survey of Latent Factor Models in Recommender Systems
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
LRMBDL
88
1
0
28 May 2024
Your decision path does matter in pre-training industrial recommenders
  with multi-source behaviors
Your decision path does matter in pre-training industrial recommenders with multi-source behaviors
Chunjing Gan
Binbin Hu
Bo Huang
Ziqi Liu
Jian Ma
Qing Cui
Wenliang Zhong
Jun Zhou
72
0
0
27 May 2024
A Preference-oriented Diversity Model Based on Mutual-information in
  Re-ranking for E-commerce Search
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search
Huimu Wang
Mingming Li
Dadong Miao
Songlin Wang
Guoyu Tang
Lin Liu
Sulong Xu
Jinghe Hu
152
1
0
24 May 2024
DisCo: Towards Harmonious Disentanglement and Collaboration between
  Tabular and Semantic Space for Recommendation
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
Kounianhua Du
Jizheng Chen
Jianghao Lin
Yunjia Xi
Hangyu Wang
Xinyi Dai
Bo Chen
Ruiming Tang
Weinan Zhang
76
7
0
20 May 2024
Positional encoding is not the same as context: A study on positional encoding for sequential recommendation
Positional encoding is not the same as context: A study on positional encoding for sequential recommendation
Alejo López-Ávila
Jinhua Du
Abbas Shimary
Ze Li
102
3
0
16 May 2024
A Click-Through Rate Prediction Method Based on Cross-Importance of
  Multi-Order Features
A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features
Hao Wang
Nao Li
50
0
0
14 May 2024
A Model-based Multi-Agent Personalized Short-Video Recommender System
A Model-based Multi-Agent Personalized Short-Video Recommender System
Peilun Zhou
Xiaoxiao Xu
Lantao Hu
Han Li
Peng Jiang
OffRL
57
1
0
03 May 2024
SoMeR: Multi-View User Representation Learning for Social Media
SoMeR: Multi-View User Representation Learning for Social Media
Siyi Guo
Keith Burghardt
Valeria Pante
Kristina Lerman
AI4TS
106
0
0
02 May 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive
  Modeling on Relational DBs
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Minjie Wang
Quan Gan
David Wipf
Zhenkun Cai
Ning Li
...
Chuan Lei
Mu-Nan Zhang
Weinan Zhang
Christos Faloutsos
Zheng Zhang
71
4
0
28 Apr 2024
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online
  Recommendation System
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
Lei Zheng
Ning Li
Weinan Zhang
Yong Yu
AI4TS
79
0
0
24 Apr 2024
Revealing and Utilizing In-group Favoritism for Graph-based
  Collaborative Filtering
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
H. Jung
Hyunsoo Cho
Myungje Choi
Joowon Lee
Jung Ho Park
Myungjoo Kang
57
0
0
23 Apr 2024
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User
  Behavior Representation to the Scenario Context
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Moyu Zhang
Yong Tang
Jinxin Hu
Yu Zhang
AI4TS
93
1
0
15 Apr 2024
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced
  Transformer
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
Zhihao Guan
Jia-Qi Yang
Yang Yang
Hengshu Zhu
Wenjie Li
Hui Xiong
71
3
0
05 Apr 2024
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating
  Prediction
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction
Shuheng Fang
Kangfei Zhao
Yu Rong
Zhixun Li
Jeffrey Xu Yu
101
0
0
26 Mar 2024
Accelerating Recommender Model Training by Dynamically Skipping Stale
  Embeddings
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings
Yassaman Ebrahimzadeh Maboud
Muhammad Adnan
Divyat Mahajan
Prashant J. Nair
AI4TS
129
0
0
22 Mar 2024
Enriching User Shopping History: Empowering E-commerce with a
  Hierarchical Recommendation System
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System
Irem Islek
Ş. Öğüdücü
33
0
0
15 Mar 2024
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship
  Tables
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables
Danrui Qi
Weiling Zheng
Jiannan Wang
ViTCVBM
45
2
0
11 Mar 2024
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
Kiran Madhusudhanan
Gunnar Behrens
Maximilian Stubbemann
Lars Schmidt-Thieme
59
0
0
06 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas
Yuening Wang
Yingxue Zhang
Mark Coates
CLL
108
1
0
06 Mar 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang
Liang Luo
Yuxin Chen
Jade Nie
Xi Liu
...
Guna Lakshminarayanan
Ellie Wen
Jongsoo Park
Maxim Naumov
Wenlin Chen
ALM
98
32
0
04 Mar 2024
ComS2T: A complementary spatiotemporal learning system for data-adaptive
  model evolution
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution
Zhen-Qiang Zhou
Qihe Huang
Binwu Wang
Jianpeng Hou
Kuo Yang
Yuxuan Liang
Yang Wang
AI4TS
65
3
0
04 Mar 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTDALM
185
81
0
27 Feb 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential
  Transducers for Generative Recommendations
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai
Lucy Liao
Xing Liu
Yueming Wang
Rui Li
...
Zhaojie Gong
Fangda Gu
Michael He
Yin-Hua Lu
Yu Shi
OffRL
102
57
0
27 Feb 2024
Pfeed: Generating near real-time personalized feeds using precomputed
  embedding similarities
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities
B. Gebre
Karoliina Ranta
S. V. D. Elzen
Ernst Kuiper
Thijs Baars
Tom Heskes
80
1
0
25 Feb 2024
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian
  Eigenvalue Regularization
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
Zirui Zhu
Yong Liu
Zangwei Zheng
Huifeng Guo
Yang You
47
0
0
23 Feb 2024
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based
  Recommender Systems
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
Yuanqing Yu
Chongming Gao
Jiawei Chen
Heng Tang
Yuefeng Sun
Qian Chen
Weizhi Ma
Min Zhang
OffRL
83
3
0
23 Feb 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for
  Consumer-to-Consumer Recommendation Systems
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
Lichi Li
Zainul Din
Zhen Tan
Sam London
Tianlong Chen
Ajay Daptardar
102
1
0
22 Feb 2024
Empirical and Experimental Insights into Data Mining Techniques for
  Crime Prediction: A Comprehensive Survey
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey
Kamal Taha
26
3
0
17 Feb 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Ben Feuer
R. Schirrmeister
Valeriia Cherepanova
Chinmay Hegde
Frank Hutter
Micah Goldblum
Niv Cohen
Colin White
99
19
0
17 Feb 2024
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive
  Pre-training
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training
Haonan Chen
Zhicheng Dou
Xuetong Hao
Yunhao Tao
Shiren Song
Zhenli Sheng
66
0
0
11 Feb 2024
Non-autoregressive Generative Models for Reranking Recommendation
Non-autoregressive Generative Models for Reranking Recommendation
Yuxin Ren
Qiya Yang
Yichun Wu
Wei Xu
Yalong Wang
Zhiqiang Zhang
104
9
0
10 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn
LiRank: Industrial Large Scale Ranking Models at LinkedIn
Fedor Borisyuk
Mingzhou Zhou
Qingquan Song
Siyu Zhu
B. Tiwana
...
Chen-Chen Jiang
Haichao Wei
Maneesh Varshney
Amol Ghoting
Souvik Ghosh
61
2
0
10 Feb 2024
Denoising Time Cycle Modeling for Recommendation
Denoising Time Cycle Modeling for Recommendation
Sicong Xie
Qunwei Li
Weidi Xu
Kaiming Shen
Shaohu Chen
Leon Wenliang Zhong
AI4TS
52
8
0
05 Feb 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Yi Cheng
Renjun Hu
Haochao Ying
Xing Shi
Jian Wu
Wei Lin
LMTD
108
10
0
04 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization
Large Language Model Agent for Hyper-Parameter Optimization
Siyi Liu
Chen Gao
Yong Li
133
23
0
02 Feb 2024
Uncertainty-Aware Explainable Recommendation with Large Language Models
Uncertainty-Aware Explainable Recommendation with Large Language Models
Yicui Peng
Hao Chen
C. Lin
Guo Huang
Jinrong Hu
Hui Guo
Bin Kong
Shu Hu
Xi Wu
Xin Wang
LRM
117
9
0
31 Jan 2024
Calibration-then-Calculation: A Variance Reduced Metric Framework in
  Deep Click-Through Rate Prediction Models
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models
Yewen Fan
Nian Si
Xiangchen Song
Kun Zhang
137
0
0
30 Jan 2024
Securing Recommender System via Cooperative Training
Securing Recommender System via Cooperative Training
Qingyang Wang
Chenwang Wu
Defu Lian
Enhong Chen
AAML
77
2
0
23 Jan 2024
Novel Representation Learning Technique using Graphs for Performance
  Analytics
Novel Representation Learning Technique using Graphs for Performance Analytics
Tarek Ramadan
Ankur Lahiry
Tanzima Z. Islam
GNNAI4TS
24
2
0
19 Jan 2024
Deep Evolutional Instant Interest Network for CTR Prediction in
  Trigger-Induced Recommendation
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
Zhibo Xiao
Luwei Yang
Tao Zhang
Wen Jiang
Wei Ning
Yujiu Yang
64
5
0
15 Jan 2024
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through
  Rate Prediction
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
Haowen Wang
Yuliang Du
Congyun Jin
Yujiao Li
Yingbo Wang
Tao Sun
Piqi Qin
Cong Fan
GNN
59
0
0
15 Jan 2024
CCNETS: A Modular Causal Learning Framework for Pattern Recognition in Imbalanced Datasets
CCNETS: A Modular Causal Learning Framework for Pattern Recognition in Imbalanced Datasets
Hanbeot Park
Yunjeong Cho
Hoon-Hee Kim
53
0
0
07 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTDAI4CE
89
9
0
04 Jan 2024
An Adaptive Framework of Geographical Group-Specific Network on O2O
  Recommendation
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation
Luo Ji
Jiayu Mao
Hailong Shi
Qian Li
Yunfei Chu
Hongxia Yang
20
0
0
28 Dec 2023
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge
  Distillation
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu
Haolun Wu
Xuan Li
Chen Ma
Xi Chen
Jun Yan
Boyu Wang
Xue Liu
106
3
0
22 Dec 2023
Proxy-based Item Representation for Attribute and Context-aware
  Recommendation
Proxy-based Item Representation for Attribute and Context-aware Recommendation
Jinseok Seol
Minseok Gang
Sang-goo Lee
Jaehui Park
85
5
0
11 Dec 2023
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