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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
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable
  Tensor Collections
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections
Marcel Wagenlander
Guo Li
Bo Zhao
Kai Zou
Peter R. Pietzuch
96
7
0
08 Dec 2023
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale
  Recommendation Models
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models
Hailin Zhang
Zirui Liu
Boxuan Chen
Yikai Zhao
Tong Zhao
Tong Yang
Tengjiao Wang
68
11
0
06 Dec 2023
GFS: Graph-based Feature Synthesis for Prediction over Relational
  Databases
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases
Han Zhang
Quan Gan
David Wipf
Weinan Zhang
47
7
0
04 Dec 2023
Knowledge Graph Driven Recommendation System Algorithm
Knowledge Graph Driven Recommendation System Algorithm
Chaoyang Zhang
Yanan Li
Shen Chen
Siwei Fan
Wei Li
83
3
0
01 Dec 2023
Preference and Concurrence Aware Bayesian Graph Neural Networks for
  Recommender Systems
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
Hongjian Gu
Yaochen Hu
Yingxue Zhang
CMLBDL
45
0
0
30 Nov 2023
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
Jia Li
Yanyan Shen
Lei Chen
Charles Wang Wai Ng
60
3
0
27 Nov 2023
Comparative Analysis of Transformers for Modeling Tabular Data: A
  Casestudy using Industry Scale Dataset
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset
Usneek Singh
Piyush Arora
Shamika Ganesan
Mohit Kumar
Siddhant Kulkarni
Salil R. Joshi
97
2
0
24 Nov 2023
Reinforcement Learning from Statistical Feedback: the Journey from AB
  Testing to ANT Testing
Reinforcement Learning from Statistical Feedback: the Journey from AB Testing to ANT Testing
Feiyang Han
Yimin Wei
Zhaofeng Liu
Yanxing Qi
65
1
0
24 Nov 2023
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss
  Landscape
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape
Hua Zheng
Kuang-Hung Liu
Igor Fedorov
Xin Zhang
Wen-Yen Chen
Wei Wen
91
2
0
22 Nov 2023
Scaling User Modeling: Large-scale Online User Representations for Ads
  Personalization in Meta
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta
Wei Zhang
Dai Li
Chen Liang
Fang Zhou
Zhongke Zhang
...
Huayu Li
Yunnan Wu
Zhan Shu
Mindi Yuan
Sri Reddy
87
11
0
16 Nov 2023
Sparsity-Preserving Differentially Private Training of Large Embedding
  Models
Sparsity-Preserving Differentially Private Training of Large Embedding Models
Badih Ghazi
Yangsibo Huang
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Amer Sinha
Chiyuan Zhang
66
2
0
14 Nov 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems
AutoML for Large Capacity Modeling of Meta's Ranking Systems
Hang Yin
Kuang-Hung Liu
Mengying Sun
Yuxin Chen
Buyun Zhang
...
Huayu Li
Zhengxing Chen
Wen-Yen Chen
Jiyan Yang
Wei Wen
OffRL
89
2
0
14 Nov 2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks
  for Tabular Data
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data
Bart Pleiter
Behrad Tajalli
Stefanos Koffas
Gorka Abad
Jing Xu
Martha Larson
S. Picek
LMTDAAML
114
1
0
13 Nov 2023
Modeling User Viewing Flow Using Large Language Models for Article
  Recommendation
Modeling User Viewing Flow Using Large Language Models for Article Recommendation
Zhenghao Liu
Zulong Chen
Moufeng Zhang
Shaoyang Duan
Hong Wen
Liangyue Li
Nan Li
Yu Gu
Ge Yu
51
6
0
12 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for
  Recommendation Systems
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems
Haojun Zhu
Vikram Kapoor
Priya Sharma
GNN
54
0
0
10 Nov 2023
ID Embedding as Subtle Features of Content and Structure for Multimodal
  Recommendation
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation
Yuting Liu
Enneng Yang
Yizhou Dang
Guibing Guo
Qiang Liu
Yuliang Liang
Linying Jiang
Xingwei Wang
78
10
0
10 Nov 2023
Hiformer: Heterogeneous Feature Interactions Learning with Transformers
  for Recommender Systems
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
Huan Gui
Ruoxi Wang
Ke Yin
Long Jin
Maciej Kula
Taibai Xu
Lichan Hong
Ed H. Chi
91
2
0
10 Nov 2023
Decentralized Personalized Online Federated Learning
Decentralized Personalized Online Federated Learning
Renzhi Wu
Saayan Mitra
Xiang Chen
Anup Rao
FedML
84
2
0
08 Nov 2023
Heterogeneous federated collaborative filtering using FAIR: Federated
  Averaging in Random Subspaces
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces
Aditya Desai
Benjamin Meisburger
Zichang Liu
Anshumali Shrivastava
FedML
52
1
0
03 Nov 2023
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
Hao Zhang
Mingyue Cheng
Qi Liu
Ziqiang Liu
AI4TS
138
3
0
01 Nov 2023
DistDNAS: Search Efficient Feature Interactions within 2 Hours
DistDNAS: Search Efficient Feature Interactions within 2 Hours
Tunhou Zhang
W. Wen
Igor Fedorov
Xi Liu
Buyun Zhang
...
Wen-Yen Chen
Yiping Han
Feng Yan
Hai Helen Li
Yiran Chen
91
1
0
01 Nov 2023
Farthest Greedy Path Sampling for Two-shot Recommender Search
Farthest Greedy Path Sampling for Two-shot Recommender Search
Yufan Cao
Tunhou Zhang
W. Wen
Feng Yan
Hai Helen Li
Yiran Chen
48
0
0
31 Oct 2023
Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective
Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective
Han-Jia Ye
Qi-Le Zhou
De-Chuan Zhan
De-Chuan Zhan
Wei-Lun Chao
39
10
0
31 Oct 2023
Embedding in Recommender Systems: A Survey
Embedding in Recommender Systems: A Survey
Xiangyu Zhao
Maolin Wang
Xinjian Zhao
Jiansheng Li
Shucheng Zhou
D. Yin
Qing Li
Jiliang Tang
Ruocheng Guo
AI4TS
90
12
0
28 Oct 2023
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value
  in Similar Item Recommendation
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation
Ramin Giahi
Reza Yousefi Maragheh
Nima Farrokhsiar
Jianpeng Xu
Jason H. D. Cho
Evren Körpeoglu
Sushant Kumar
Kannan Achan
70
0
0
26 Oct 2023
RDBench: ML Benchmark for Relational Databases
Zizhao Zhang
Yi Yang
Lutong Zou
He Wen
Tao Feng
Jiaxuan You
59
3
0
25 Oct 2023
Context-aware explainable recommendations over knowledge graphs
Context-aware explainable recommendations over knowledge graphs
Jinfeng Zhong
E. Negre
41
1
0
24 Oct 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse
  Network
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
Fuyuan Lyu
Xing Tang
Dugang Liu
Chen Ma
Weihong Luo
Liang Chen
Xiuqiang He
Xue Liu
100
2
0
23 Oct 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Qi-Le Zhou
Han-Jia Ye
Le-Ye Wang
De-Chuan Zhan
132
10
0
23 Oct 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
Tianyuan Zou
Zixuan Gu
Yuanqin He
Hideaki Takahashi
Yang Liu
Ya-Qin Zhang
FedML
89
6
0
15 Oct 2023
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting
  Language Models to CTR Prediction
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
Jianghao Lin
Bo Chen
Hangyu Wang
Yunjia Xi
Yanru Qu
Xinyi Dai
Kangning Zhang
Ruiming Tang
Yong Yu
Weinan Zhang
174
34
0
13 Oct 2023
On the Embedding Collapse when Scaling up Recommendation Models
On the Embedding Collapse when Scaling up Recommendation Models
Xingzhuo Guo
Kai Yan
Ximei Wang
Baixu Chen
Haohan Wang
Mingsheng Long
103
25
0
06 Oct 2023
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through
  Rate Prediction
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction
Yujian Betterest Li
Kai Wu
50
0
0
06 Oct 2023
Auto-FP: An Experimental Study of Automated Feature Preprocessing for
  Tabular Data
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data
Danrui Qi
Jinglin Peng
Yongjun He
Jiannan Wang
TPM
81
3
0
04 Oct 2023
Feature Interaction Aware Automated Data Representation Transformation
Feature Interaction Aware Automated Data Representation Transformation
Steve Hanneke
Dongjie Wang
Kunpeng Liu
Wei Zhang
Yanjie Fu
67
8
0
29 Sep 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley
  Additive Self-Attribution
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution
Ying Sun
Hengshu Zhu
Huixia Xiong
TDIFAttMILM
98
1
0
27 Sep 2023
Enhancing Cross-Category Learning in Recommendation Systems with
  Multi-Layer Embedding Training
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training
Selim F. Yilmaz
Benjamin Ghaemmaghami
A. Singh
Benjamin Cho
Leo Orshansky
Lei Deng
Michael Orshansky
AI4TS
57
0
0
27 Sep 2023
Automatic Feature Fairness in Recommendation via Adversaries
Automatic Feature Fairness in Recommendation via Adversaries
Hengchang Hu
Yiming Cao
Zhankui He
Samson Tan
Min-Yen Kan
AAMLFaML
26
2
0
27 Sep 2023
Diffusion Augmentation for Sequential Recommendation
Diffusion Augmentation for Sequential Recommendation
Qidong Liu
Fan Yan
Xiangyu Zhao
Zhaochen Du
Huifeng Guo
Ruiming Tang
Feng Tian
78
42
0
22 Sep 2023
AdSEE: Investigating the Impact of Image Style Editing on Advertisement
  Attractiveness
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
Liyao Jiang
Chenglin Li
Haolan Chen
Xiao-Rong Gao
Xinwang Zhong
Yang Qiu
Shani Ye
Di Niu
59
0
0
15 Sep 2023
Self-optimizing Feature Generation via Categorical Hashing
  Representation and Hierarchical Reinforcement Crossing
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing
Wangyang Ying
Dongjie Wang
Kunpeng Liu
Leilei Sun
Yanjie Fu
66
20
0
08 Sep 2023
Marketing Budget Allocation with Offline Constrained Deep Reinforcement
  Learning
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning
Tianchi Cai
Jiyan Jiang
Wenpeng Zhang
Shiji Zhou
Xierui Song
Li Yu
Lihong Gu
Xiaodong Zeng
Jinjie Gu
Guannan Zhang
OffRL
54
3
0
06 Sep 2023
MvFS: Multi-view Feature Selection for Recommender System
MvFS: Multi-view Feature Selection for Recommender System
Youngjune Lee
Yeongjong Jeong
Keunchan Park
SeongKu Kang
82
12
0
05 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery:
  Taxonomy, Progress, and Prospects
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Haomin Wen
Youfang Lin
Lixia Wu
Xiaowei Mao
Tianyu Cai
...
Guangyin Jin
Yiji Zhao
Roger Zimmermann
Jieping Ye
Huaiyu Wan
AI4TS
111
6
0
03 Sep 2023
Recommender AI Agent: Integrating Large Language Models for Interactive
  Recommendations
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Xu Huang
Jianxun Lian
Yuxuan Lei
Jing Yao
Defu Lian
Xing Xie
LLMAG
80
98
0
31 Aug 2023
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling
  Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate
  Prediction
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction
Jun Li
Jingjian Wang
Hongwei Wang
Xing Deng
Jielong Chen
...
Zekun Wang
Guanjie Xu
Geng Zhang
Feng Shi
Hualei Liu
AI4TS
25
2
0
30 Aug 2023
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in
  Recommendation Networks
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks
Muhammad Adnan
Yassaman Ebrahimzadeh Maboud
Divyat Mahajan
Prashant J. Nair
58
3
0
28 Aug 2023
Model-free Reinforcement Learning with Stochastic Reward Stabilization
  for Recommender Systems
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems
Tianchi Cai
Shenliao Bao
Jiyan Jiang
Shiji Zhou
Wenpeng Zhang
Lihong Gu
Jinjie Gu
Guannan Zhang
OffRL
63
2
0
25 Aug 2023
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via
  Expert Routing and Game Whale Detection
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection
Shi-jing Zhang
Xin Yan
Xuejiao Yang
Binfeng Jia
Shuangyang Wang
76
12
0
24 Aug 2023
Master-slave Deep Architecture for Top-K Multi-armed Bandits with
  Non-linear Bandit Feedback and Diversity Constraints
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints
Han Huang
Li Shen
Deheng Ye
Wei Liu
34
0
0
24 Aug 2023
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