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1803.05170
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xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Knowledge Discovery and Data Mining (KDD), 2018
14 March 2018
Jianxun Lian
Xiaohuan Zhou
Fuzheng Zhang
Zhongxia Chen
Xing Xie
Guangzhong Sun
BDL
Re-assign community
ArXiv (abs)
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Github (746★)
Papers citing
"xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems"
50 / 332 papers shown
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Fan Yang
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132
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A Deep Behavior Path Matching Network for Click-Through Rate Prediction
The Web Conference (WWW), 2023
Jian Dong
Yisong Yu
Yapeng Zhang
Yimin Lv
Shuli Wang
Beihong Jin
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Dong Wang
HAI
155
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01 Feb 2023
Causality-based CTR Prediction using Graph Neural Networks
Information Processing & Management (IPM), 2023
Panyu Zhai
Yanwu Yang
Chun-Hui Zhang
CML
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169
39
0
30 Jan 2023
Decision-Making Context Interaction Network for Click-Through Rate Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xiang Li
Shuwei Chen
Jian Dong
Jin Zhang
Yongkang Wang
Xingxing Wang
Dong Wang
85
9
0
29 Jan 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction
Yachen Yan
Liubo Li
166
4
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06 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions
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Liubo Li
170
12
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03 Jan 2023
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction
Yachen Yan
Liubo Li
187
0
0
03 Jan 2023
Ontology-based Context Aware Recommender System Application for Tourism
Vítor Teixeira Camacho
J. Cruz
72
2
0
29 Dec 2022
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Web Search and Data Mining (WSDM), 2022
Fang Wang
Yingxu Wang
Dongsheng Li
Hansu Gu
Tun Lu
Peng Zhang
Ning Gu
SSL
173
62
0
01 Dec 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Web Search and Data Mining (WSDM), 2022
Zhen Tian
Ting Bai
Ziyan Zhang
Zhiyuan Xu
Kangyi Lin
Ji-Rong Wen
Wayne Xin Zhao
212
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21 Nov 2022
Inductive Graph Transformer for Delivery Time Estimation
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Jinglong Wang
Yong Liu
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Cyril Leung
91
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RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction
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Weiyu Cheng
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Kangyi Lin
123
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28 Oct 2022
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling
Industrial Conference on Data Mining (IDM), 2022
Zuowu Zheng
Xiaofeng Gao
Junwei Pan
Qicong Luo
Guihai Chen
Dapeng Liu
Jie Jiang
225
6
0
27 Oct 2022
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction
International Conference on Information and Knowledge Management (CIKM), 2022
P. Zhang
Junlin Zhang
171
5
0
25 Oct 2022
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications
Hao Wang
Zhichao Chen
Jiajun Fan
Yuxin Huang
Weiming Liu
Xinggao Liu
CML
178
5
0
20 Oct 2022
Deep Multi-Representation Model for Click-Through Rate Prediction
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Shereen Elsayed
Lars Schmidt-Thieme
3DV
160
3
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18 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction
Wenlong Deng
Lang Lang
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156
0
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Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
Minkyu Kim
Hyunjin Choi
Jinho Kim
FAtt
398
11
0
30 Sep 2022
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
Weijie Zhao
Xuewu Jiao
Xinsheng Luo
Jingxue Li
Belhal Karimi
Ping Li
159
2
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26 Sep 2022
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction
Qiwei Chen
Yue Xu
Changhua Pei
Shanshan Lv
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88
4
0
25 Sep 2022
Boost CTR Prediction for New Advertisements via Modeling Visual Content
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Zhipeng Jin
Jie Liu
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178
10
0
23 Sep 2022
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction
International Conference on Information and Knowledge Management (CIKM), 2022
P. Zhang
Zheng Zheng
Junlin Zhang
157
14
0
12 Sep 2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network
Jingcai Guo
Song Guo
Jie Zhang
Ziming Liu
FedML
252
15
0
21 Aug 2022
Finding Emotions in Faces: A Meta-Classifier
Siddartha Dalal
Sierra Vo
Michael Lesk
W. Yuan
CVBM
54
0
0
20 Aug 2022
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences
International Conference on Information and Knowledge Management (CIKM), 2022
Qianying Lin
Wen-Ji Zhou
Yanshi Wang
Qing Da
Qingguo Chen
Bing Wang
VLM
161
13
0
08 Aug 2022
The trade-offs of model size in large recommendation models : A 10000
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Aditya Desai
Anshumali Shrivastava
AI4CE
170
3
0
21 Jul 2022
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
The Web Conference (WWW), 2022
Tunhou Zhang
Dehua Cheng
Yuchen He
Zhengxing Chen
Xiaoliang Dai
Liang Xiong
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Xue Yang
Yiran Chen
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162
19
0
14 Jul 2022
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems
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Yixin Su
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S. Erfani
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732
28
0
28 Jun 2022
Cooperative Retriever and Ranker in Deep Recommenders
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Xunpeng Huang
Defu Lian
Jin Chen
Liu Zheng
Xing Xie
Enhong Chen
VLM
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125
15
0
28 Jun 2022
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianwei Cao
Qianqian Xu
Zhiyong Yang
Qingming Huang
164
8
0
28 Jun 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction
CAAI International Conference on Artificial Intelligence (ICCAI), 2022
Ri-Qi Su
Alphonse Houssou Hounye
Cong Cao
Muzhou Hou
200
1
0
18 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Chenwang Wu
Defu Lian
Yong Ge
Min Zhou
Enhong Chen
Dacheng Tao
172
6
0
17 Jun 2022
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model
Neural Information Processing Systems (NeurIPS), 2022
Yuchi Xu
Yuanxing Zhang
Yufeng Cai
Kaixu Ren
Pengjie Wang
...
Jing Chen
Hongbo Deng
Jian Xu
Lin Qu
Bo Zheng
164
5
0
23 May 2022
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
International Conference on Learning Representations (ICLR), 2022
Yewen Fan
Nian Si
Kun Zhang
303
5
0
19 May 2022
AutoField: Automating Feature Selection in Deep Recommender Systems
The Web Conference (WWW), 2022
Yejing Wang
Xiang Zhao
Tong Xu
Xianren Wu
194
82
0
19 Apr 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zangwei Zheng
Peng Xu
Xuan Zou
Da Tang
Zhen Li
...
Xiangzhuo Ding
Fuzhao Xue
Ziheng Qing
Youlong Cheng
Yang You
VLM
319
8
0
13 Apr 2022
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
IEEE International Conference on Data Engineering (ICDE), 2022
Yuanxing Zhang
Langshi Chen
Siran Yang
Man Yuan
Hui-juan Yi
...
Yong Li
Dingyang Zhang
Jialin Li
Lin Qu
Bo Zheng
175
36
0
11 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks
IEEE Access (IEEE Access), 2022
Minkyu Kim
Hyunseung Choi
Jinho Kim
GNN
235
11
0
07 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations
Bo Chen
Xiangyu Zhao
Yejing Wang
Wenqi Fan
Huifeng Guo
Ruiming Tang
AI4TS
332
13
0
04 Apr 2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
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Chao Chen
Dongsheng Li
Junchi Yan
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83
20
0
02 Apr 2022
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yao Yao
B. Liu
Haoxun He
Dakui Sheng
Ke Wang
Li Xiao
Huanhuan Cao
120
4
0
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BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models
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Shrutendra Harsola
205
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Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering
Ramin Raziperchikolaei
Young-joo Chung
157
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0
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DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction
Buyun Zhang
Liangchen Luo
Xi Liu
Jay Li
Zeliang Chen
...
Yasmine Badr
Jongsoo Park
Jiyan Yang
Dheevatsa Mudigere
Ellie Wen
3DV
138
12
0
11 Mar 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review
Information Processing & Management (IPM), 2022
Yanwu Yang
Panyu Zhai
CML
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224
131
0
22 Feb 2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
The Web Conference (WWW), 2022
Ruijie Wang
Zheng Li
Danqing Zhang
Qingyu Yin
Tong Zhao
Bing Yin
Tarek Abdelzaher
AI4TS
156
26
0
12 Feb 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Erxue Min
Yu Rong
Qifeng Bai
Yatao Bian
P. Zhao
Junzhou Huang
Da Luo
Kangyi Lin
Sophia Ananiadou
218
41
0
25 Jan 2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs
International Conference on High Performance Computing (HiPC), 2022
Zhongyi Lin
Louis Feng
E. K. Ardestani
Jaewon Lee
J. Lundell
Changkyu Kim
A. Kejariwal
John Douglas Owens
138
20
0
19 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
The Web Conference (WWW), 2022
Xiaoxiao Xu
Chen Yang
Qian Yu
Zhiwei Fang
Jiaxing Wang
Chaosheng Fan
Yang He
Changping Peng
Zhangang Lin
Jingping Shao
CML
149
37
0
17 Jan 2022
Deep Unified Representation for Heterogeneous Recommendation
The Web Conference (WWW), 2022
Chengqiang Lu
Mingyang Yin
Shuheng Shen
Luo Ji
Qi Liu
Hongxia Yang
DML
116
9
0
15 Jan 2022
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