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Field-weighted Factorization Machines for Click-Through Rate Prediction
  in Display Advertising
v1v2 (latest)

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

9 June 2018
Junwei Pan
Jian Xu
A. L. Ruiz
Wenliang Zhao
Shengjun Pan
Yu Sun
Quan Lu
ArXiv (abs)PDFHTML

Papers citing "Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising"

50 / 59 papers shown
Title
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
Kefan Wang
Hao Wang
Wei Guo
Yong Liu
Jianghao Lin
Defu Lian
Enhong Chen
66
0
0
25 May 2025
Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction
Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction
Honghao Li
Yiwen Zhang
Yi Zhang
Lei Sang
Jieming Zhu
129
0
0
23 May 2025
Enhancing CTR Prediction with De-correlated Expert Networks
Enhancing CTR Prediction with De-correlated Expert Networks
Jiancheng Wang
Mingjia Yin
Junwei Pan
Ximei Wang
Hao Wang
Enhong Chen
72
0
0
23 May 2025
Mini-Game Lifetime Value Prediction in WeChat
Mini-Game Lifetime Value Prediction in WeChat
Aochuan Chen
Yifan Niu
Ziqi Gao
Yujie Sun
Shoujun Liu
Gong Chen
Yang Liu
Jia Li
18
0
0
21 May 2025
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction
Yu Cui
Feng Liu
Jiawei Chen
Yudi Wu
Changwang Zhang
Jun Wang
Yuegang Sun
Xiaohu Yang
Can Wang
114
0
0
20 May 2025
DashCLIP: Leveraging multimodal models for generating semantic embeddings for DoorDash
DashCLIP: Leveraging multimodal models for generating semantic embeddings for DoorDash
Omkar Gurjar
Kin Sum Liu
Praveen Kolli
Utsaw Kumar
Mandar Rahurkar
64
1
0
18 Mar 2025
Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction
Yongjun Xu
Zhiyuan Lu
Xuzhao Li
Jinxin Hu
Hong Wen
Z. Chen
Yu Zhang
Jing-Xuan Zhang
67
0
0
14 Mar 2025
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Xiang Xu
Hao Wang
Wei Guo
Lefei Zhang
Wanshan Yang
R. Yu
Yixiao Liu
Defu Lian
Enhong Chen
162
7
0
22 Nov 2024
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction
Yunxiao Shi
Wujiang Xu
Mingyu Jin
Haimin Zhang
Qiang Wu
128
1
0
16 Aug 2024
FedUD: Exploiting Unaligned Data for Cross-Platform Federated
  Click-Through Rate Prediction
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
Wentao Ouyang
Rui Dong
Ri Tao
Xiangzheng Liu
FedML
49
2
0
26 Jul 2024
Low Rank Field-Weighted Factorization Machines for Low Latency Item
  Recommendation
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
Alicia Y. Tsai
Michael Viderman
Anahita Hosseini
Zemin Zhang
Ariel Raviv
Lichan Hong
45
0
0
22 Jul 2024
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in
  Advertising
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
Ruize Wang
Hui Xu
Ying Cheng
Qi He
Xing Zhou
Rui Feng
Wei Xu
Lei Huang
Jie Jiang
77
2
0
15 Jun 2024
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display
  Advertising
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising
Zhen Gong
Lvyin Niu
Yang Zhao
Miao Xu
Zhenzhe Zheng
...
Fan Wu
Rongquan Bai
Chuan Yu
Jian Xu
Bo Zheng
91
2
0
05 Mar 2024
Ads Recommendation in a Collapsed and Entangled World
Ads Recommendation in a Collapsed and Entangled World
Junwei Pan
Wei Xue
Ximei Wang
Haibin Yu
Xun Liu
Shijie Quan
Xueming Qiu
Dapeng Liu
Lei Xiao
Jie Jiang
101
9
0
22 Feb 2024
Unbiased Filtering Of Accidental Clicks in Verizon Media Native
  Advertising
Unbiased Filtering Of Accidental Clicks in Verizon Media Native Advertising
Yohay Kaplan
Naama Haramaty-Krasne
A. Shtoff
O. Somekh
35
3
0
08 Dec 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
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
Liangcai Su
Junwei Pan
Ximei Wang
Xi Xiao
Shijie Quan
Xihua Chen
Jie Jiang
90
21
0
16 Aug 2023
Temporal Interest Network for User Response Prediction
Temporal Interest Network for User Response Prediction
Haolin Zhou
Junwei Pan
Xinyi Zhou
Xihua Chen
Jie Jiang
Xiaofeng Gao
Guihai Chen
101
9
0
15 Aug 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
51
4
0
18 Jul 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare
  Maximization in Ad Auctions
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
Boxiang Lyu
Zhe Feng
Zachary Robertson
Sanmi Koyejo
44
2
0
01 Jun 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
HyperFormer: Learning Expressive Sparse Feature Representations via
  Hypergraph Transformer
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
Kaize Ding
Albert Jiongqian Liang
Bryan Perrozi
Ting-Li Chen
Ruoxi Wang
Lichan Hong
Ed H. Chi
Huan Liu
D. Cheng
63
14
0
27 May 2023
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for
  CTR Prediction
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction
Chengkai Zhu
Liang Du
Hong Chen
Shuang Zhao
Zixun Sun
Xin Eric Wang
Wenwu Zhu
54
1
0
03 May 2023
Causality-based CTR Prediction using Graph Neural Networks
Causality-based CTR Prediction using Graph Neural Networks
Panyu Zhai
Yanwu Yang
Chun-Hui Zhang
CMLGNN
79
32
0
30 Jan 2023
CL4CTR: A Contrastive Learning Framework for CTR Prediction
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fang Wang
Yingxu Wang
Dongsheng Li
Hansu Gu
Tun Lu
Peng Zhang
Ning Gu
SSL
57
47
0
01 Dec 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via
  Knowledge Distillation
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Zhen Tian
Ting Bai
Ziyan Zhang
Zhiyuan Xu
Kangyi Lin
Ji-Rong Wen
Wayne Xin Zhao
73
19
0
21 Nov 2022
Risk-Aware Bid Optimization for Online Display Advertisement
Risk-Aware Bid Optimization for Online Display Advertisement
Rui Fan
Erick Delage
96
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
86
6
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
52
3
0
25 Oct 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
53
7
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
48
1
0
25 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
113
1
0
18 Jun 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review
Click-Through Rate Prediction in Online Advertising: A Literature Review
Yanwu Yang
Panyu Zhai
CML3DV
118
100
0
22 Feb 2022
AEFE: Automatic Embedded Feature Engineering for Categorical Features
AEFE: Automatic Embedded Feature Engineering for Categorical Features
Zhenyuan Zhong
Jie Yang
Yacong Ma
Shoubin Dong
Jinlong Hu
120
2
0
19 Oct 2021
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Qiwei Chen
Changhua Pei
Shanshan Lv
Chao Li
Junfeng Ge
Wenwu Ou
LRMCML3DV
64
66
0
10 Aug 2021
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction
  Methods for CTR Prediction
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
Fuyuan Lyu
Xing Tang
Huifeng Guo
Ruiming Tang
Xiuqiang He
Rui Zhang
Xue Liu
90
22
0
03 Aug 2021
Leaf-FM: A Learnable Feature Generation Factorization Machine for
  Click-Through Rate Prediction
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
Qingyun She
Zhiqiang Wang
Junlin Zhang
42
1
0
26 Jul 2021
FINT: Field-aware INTeraction Neural Network For CTR Prediction
FINT: Field-aware INTeraction Neural Network For CTR Prediction
Zhishan Zhao
Sen Yang
Guohui Liu
Dawei Feng
Ke Xu
50
9
0
05 Jul 2021
Online Interaction Detection for Click-Through Rate Prediction
Online Interaction Detection for Click-Through Rate Prediction
Qiuqiang Lin
Chuanhou Gao
52
0
0
27 Jun 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate
  Prediction
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
W. Ouyang
Xiuwu Zhang
Shukui Ren
Li Li
Kun Zhang
Jinmei Luo
Zhaojie Liu
Yanlong Du
53
46
0
19 May 2021
DCAP: Deep Cross Attentional Product Network for User Response
  Prediction
DCAP: Deep Cross Attentional Product Network for User Response Prediction
Zekai Chen
Fangtian Zhong
Zhumin Chen
Xiao Zhang
Robert Pless
Xiuzhen Cheng
76
11
0
18 May 2021
Looking at CTR Prediction Again: Is Attention All You Need?
Looking at CTR Prediction Again: Is Attention All You Need?
Yuan Cheng
Yanbo Xue
CMLHAI
63
19
0
12 May 2021
Deep Learning for Click-Through Rate Estimation
Deep Learning for Click-Through Rate Estimation
Weinan Zhang
Jiarui Qin
Wei Guo
Ruiming Tang
Xiuqiang He
3DVHAI
82
113
0
21 Apr 2021
Joint Online Learning and Decision-making via Dual Mirror Descent
Joint Online Learning and Decision-making via Dual Mirror Descent
Alfonso Lobos
Paul Grigas
Zheng Wen
37
11
0
20 Apr 2021
User Response Prediction in Online Advertising
User Response Prediction in Online Advertising
Zhabiz Gharibshah
Xingquan Zhu
OffRL
115
50
0
07 Jan 2021
Multi-Interactive Attention Network for Fine-grained Feature Learning in
  CTR Prediction
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
Kai Zhang
Hao Qian
Daixin Wang
Qi Liu
Longfei Li
Jun Zhou
Jianhui Ma
Enhong Chen
HAI
52
50
0
13 Dec 2020
Field-wise Learning for Multi-field Categorical Data
Field-wise Learning for Multi-field Categorical Data
Zhibin Li
Jian Zhang
Yongshun Gong
Yazhou Yao
Qiang Wu
CMLOOD
45
9
0
01 Dec 2020
Non-Linear Multiple Field Interactions Neural Document Ranking
Non-Linear Multiple Field Interactions Neural Document Ranking
Ken Takiguchi
Niall Twomey
Luis M. Vaquero
31
0
0
18 Nov 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
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