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Deep Learning over Multi-field Categorical Data: A Case Study on User
  Response Prediction

Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction

11 January 2016
Weinan Zhang
Tianming Du
Jun Wang
    AI4CE
ArXivPDFHTML

Papers citing "Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction"

38 / 38 papers shown
Title
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
Xiaoyu Zhang
Liang Wang
72
22
0
24 Feb 2025
FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
FuXi-α\alphaα: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
Yufei Ye
Wei Guo
Jin Yao Chin
Hao Wang
Hong Zhu
...
Yuyang Ye
Y. Liu
Ruiming Tang
Defu Lian
Enhong Chen
104
2
0
05 Feb 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise
Jingyi Cui
Yi-Ge Zhang
Hengyu Liu
Yisen Wang
NoLa
48
0
0
03 Jan 2025
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
38
0
0
29 May 2024
RecSys Challenge 2023: From data preparation to prediction, a simple,
  efficient, robust and scalable solution
RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
Maxime Manderlier
Fabian Lecron
12
0
0
12 Jan 2024
MvFS: Multi-view Feature Selection for Recommender System
MvFS: Multi-view Feature Selection for Recommender System
Youngjune Lee
Yeongjong Jeong
Keunchan Park
SeongKu Kang
33
12
0
05 Sep 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
22
2
0
01 Jun 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and
  bit-wise feature interactions
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions
Yachen Yan
Liubo Li
26
9
0
03 Jan 2023
Adaptive Risk-Aware Bidding with Budget Constraint in Display
  Advertising
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising
Zhimeng Jiang
Kaixiong Zhou
Mi Zhang
Rui Chen
Xia Hu
Soo-Hyun Choi
27
2
0
06 Dec 2022
A Profit-Maximizing Strategy for Advertising on the e-Commerce Platforms
A Profit-Maximizing Strategy for Advertising on the e-Commerce Platforms
Lianghai Xiao
Yixing Zhao
Jiwei Chen
16
0
0
31 Oct 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
NECA: Network-Embedded Deep Representation Learning for Categorical Data
NECA: Network-Embedded Deep Representation Learning for Categorical Data
Xiaonan Gao
Sen Wu
Wenjun Zhou
19
0
0
25 May 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10
  minutes on 1 GPU
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU
Zangwei Zheng
Peng Xu
Xuan Zou
Da Tang
Zhen Li
...
Xiangzhuo Ding
Fuzhao Xue
Ziheng Qing
Youlong Cheng
Yang You
VLM
44
7
0
13 Apr 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
28
2
0
19 Oct 2021
Concept-Aware Denoising Graph Neural Network for Micro-Video
  Recommendation
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
Yiyu Liu
Qian Liu
Yu Tian
Changping Wang
Yanan Niu
Yang Song
Chenliang Li
26
53
0
28 Sep 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
28
46
0
19 May 2021
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate
  Prediction
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
Runlong Yu
Yuyang Ye
Qi Liu
Zihan Wang
Chunfeng Yang
Yucheng Hu
Enhong Chen
30
18
0
22 Apr 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
3DV
HAI
33
110
0
21 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models
  with Huge Embedding Table
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table
Huifeng Guo
Wei Guo
Yong Gao
Ruiming Tang
Xiuqiang He
Wenzhi Liu
38
20
0
17 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate
  Feature Interaction Modelling
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling
Tong Chen
Hongzhi Yin
Xiangliang Zhang
Zi Huang
Yang Wang
Meng Wang
30
12
0
05 Apr 2021
Field-Embedded Factorization Machines for Click-through rate prediction
Field-Embedded Factorization Machines for Click-through rate prediction
Harshit Pande
8
15
0
13 Sep 2020
A Practical Incremental Method to Train Deep CTR Models
A Practical Incremental Method to Train Deep CTR Models
Yichao Wang
Huifeng Guo
Ruiming Tang
Zhirong Liu
Xiuqiang He
CLL
24
31
0
04 Sep 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
24
963
0
16 Jul 2020
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
Tongwen Huang
Qingyun She
Zhiqiang Wang
Junlin Zhang
32
29
0
06 Jul 2020
Feature Interaction based Neural Network for Click-Through Rate
  Prediction
Feature Interaction based Neural Network for Click-Through Rate Prediction
Dafang Zou
Leimin Zhang
Jiafa Mao
Weiguo Sheng
14
3
0
07 Jun 2020
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR
  Prediction
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li
Zeyu Cui
Shu Wu
Xiaoyu Zhang
Liang Wang
GNN
22
216
0
12 Oct 2019
Predicting Different Types of Conversions with Multi-Task Learning in
  Online Advertising
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising
Junwei Pan
Yizhi Mao
A. L. Ruiz
Yu Sun
Aaron Flores
31
37
0
24 Jul 2019
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
Junlin Zhang
Tongwen Huang
Zhiqi Zhang
27
20
0
15 May 2019
Operation-aware Neural Networks for User Response Prediction
Operation-aware Neural Networks for User Response Prediction
Yi Yang
Baile Xu
S. Furao
Jian Zhao
19
66
0
02 Apr 2019
Interaction-aware Factorization Machines for Recommender Systems
Interaction-aware Factorization Machines for Recommender Systems
Fuxing Hong
Dongbo Huang
Ge Chen
30
37
0
26 Feb 2019
Field-aware Neural Factorization Machine for Click-Through Rate
  Prediction
Field-aware Neural Factorization Machine for Click-Through Rate Prediction
Li Zhang
Weichen Shen
Shijian Li
Gang Pan
18
34
0
25 Feb 2019
Field-weighted Factorization Machines for Click-Through Rate Prediction
  in Display Advertising
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
Junwei Pan
Jian Xu
A. L. Ruiz
Wenliang Zhao
Shengjun Pan
Yu Sun
Quan Lu
34
193
0
09 Jun 2018
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
Zhenhua Dong
115
64
0
12 Apr 2018
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
Bokai Cao
Lei Zheng
Chenwei Zhang
Philip S. Yu
A. Piscitello
John Zulueta
Olusola Ajilore
K. Ryan
Alex Leow
15
125
0
23 Mar 2018
Neural Factorization Machines for Sparse Predictive Analytics
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He
Tat-Seng Chua
20
1,286
0
16 Aug 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
60
2,612
0
13 Mar 2017
Small Boxes Big Data: A Deep Learning Approach to Optimize Variable
  Sized Bin Packing
Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing
Feng Mao
E. Blanco
Mingang Fu
Rohit Jain
Anurag Gupta
Sebastien Mancel
Rong Yuan
Stephen D. Guo
Sai Kumar
Yayang Tian
14
17
0
14 Feb 2017
Field-aware Factorization Machines in a Real-world Online Advertising
  System
Field-aware Factorization Machines in a Real-world Online Advertising System
Yu-Chin Juan
Damien Lefortier
O. Chapelle
13
104
0
15 Jan 2017
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