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Click-through rate (CTR) prediction is one of the fundamental tasks for online advertising and recommendation.
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
Ma, J.; Zhao, Z.; Yi, X.; Chen, J.; Hong, L.; and Chi, E. H. 2018 · 1939
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Predicting Clicks: Estimating the Click-Through Rate for New Ads
Richardson, M.; Dominowska, E.; and Ragno, R. 2007 · 2007
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Factorization Machines
Rendle, S. 2010 · 2010
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Practical Lessons from Predicting Clicks on Ads at Facebook
He, X.; Pan, J.; Jin, O.; Xu, T.; Liu, B.; Xu, T.; Shi, Y.; Atallah, A.; Herbrich, R.; Bowers, S.; and Candela, J. Q. 2014 · 2014
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Bilinear CNN Models for Fine-Grained Visual Recognition
Lin, T.; RoyChowdhury, A.; and Maji, S. 2015 · 2015
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Higher-Order Factorization Machines
Blondel, M.; Fujino, A.; Ueda, N.; and Ishihata, M. 2016 · 2016
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Wide & Deep Learning for Recommender Systems
Cheng, H.; Koc, L.; Harmsen, J.; Shaked, T.; et al. 2016 · 2016
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Deep Neural Networks for YouTube Recommendations
Covington, P.; Adams, J.; and Sargin, E. 2016 · 2016
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Field-aware Factorization Machines for CTR Prediction
Juan, Y.; Zhuang, Y.; Chin, W.; and Lin, C. 2016 · 2016
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Feature Selection Methods Evaluation for CTR Estimation
Pechuán, L. M.; Ponce, H.; and de Lourdes Martínez-Villaseñor, M. 2016 · 2016
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DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Guo, H.; Tang, R.; Ye, Y.; Li, Z.; and He, X. 2017 · 2017
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Attention is All you Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Deep & Cross Network for Ad Click Predictions
Wang, R.; Fu, B.; Fu, G.; and Wang, M. 2017 · 2017
Cited alongside, same era.
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Xiao, J.; Ye, H.; He, X.; Zhang, H.; Wu, F.; and Chua, T. 2017 · 2017
Cited alongside, same era.
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Lian, J.; Zhou, X.; Zhang, F.; et al. 2018 · 2018
Cited alongside, same era.
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
Pan, J.; Xu, J.; Ruiz, A. L.; Zhao, W.; Pan, S.; Sun, Y.; and Lu, Q. 2018 · 2018
Cited alongside, same era.
FiBiNET: Combining Feature Importance and Bilinear Feature Interaction for Click-Through Rate Prediction
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models
Chen, B.; Wang, Y.; Liu, Z.; Tang, R.; Guo, W.; Zheng, H.; Yao, W.; Zhang, M.; and He, X. 2021 · 2021
Later among the works it cites.
Looking at CTR Prediction Again: Is Attention All You Need?
Cheng, Y.; and Xue, Y. 2021 · 2021
Later among the works it cites.
Guan, L.; Xiao, X.; Chen, M.; and Cheng, Y. 2021 · 2021
Later among the works it cites.
FM2: Field-matrixed Factorization Machines for Recommender Systems
Sun, Y.; Pan, J.; Zhang, A.; and Flores, A. 2021 · 2021
Later among the works it cites.
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
Wang, R.; Shivanna, R.; Cheng, D.; Jain, S.; Lin, D.; Hong, L.; and Chi, E. 2021 · 2021
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Huang, T.; Zhang, Z.; and Zhang, J. 2019 · 2019
Cited alongside, same era.
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Li, Z.; Cui, Z.; Wu, S.; Zhang, X.; and Wang, L. 2019 · 2019
Cited alongside, same era.
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Song, W.; Shi, C.; Xiao, Z.; Duan, Z.; Xu, Y.; Zhang, M.; and Tang, J. 2019 · 2019
Cited alongside, same era.
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
Cheng, W.; Shen, Y.; and Huang, L. 2020 · 2020
Cited alongside, same era.
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Rendle, S.; Krichene, W.; Zhang, L.; and Anderson, J. R. 2020 · 2020
Cited alongside, same era.
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions
Yu, F.; Liu, Z.; Liu, Q.; Zhang, H.; Wu, S.; and Wang, L. 2020 · 2020
Cited alongside, same era.
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
Wang, Z.; She, Q.; and Zhang, J. 2021 · 2021
Later among the works it cites.
Deep Learning for Click-Through Rate Estimation
Zhang, W.; Qin, J.; Guo, W.; Tang, R.; and He, X. 2021 · 2021
Later among the works it cites.
Open Benchmarking for Click-Through Rate Prediction
Zhu, J.; Liu, J.; Yang, S.; Zhang, Q.; and He, X. 2021 · 2021
Later among the works it cites.
BARS: Towards Open Benchmarking for Recommender Systems
Zhu, J.; Dai, Q.; Su, L.; Ma, R.; Liu, J.; Cai, G.; Xiao, X.; and Zhang, R. 2022 · 2022
Later among the works it cites.
Factorized Bilinear Models for Image Recognition
Li, Y.; Wang, N.; Liu, J.; and Hou, X. 2017 · 2098
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