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Estimating post-click conversion rate (CVR) accurately is crucial in E-commerce.
Mining with rarity: a unifying framework
Weiss, G. M. 2004 · 2004
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An introduction to ROC analysis
Fawcett, T. 2006 · 2006
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One-Class Collaborative Filtering
Pan, R.; Zhou, Y.; Cao, B.; Liu, N. N.; Lukose, R. M.; Scholz, M.; and Yang, Q. 2008 · 2008
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Survival analysis , volume 66
Jr., R. G. M. 2011 · 2011
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Estimating conversion rate in display advertising from past performance data
Lee, K.; Orten, B.; Dasdan, A.; and Li, W. 2012 · 2012
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Modeling delayed feedback in display advertising
Chapelle, O. 2014 · 2014
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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Coupled group lasso for web-scale ctr prediction in display advertising
Yan, L.; Li, W.-J.; Xue, G.-R.; and Han, D. 2014 · 2014
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Deep Residual Learning for Image Recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
He, R.; and McAuley, J. 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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Time-aware conversion prediction
Ji, W.; Wang, X.; and Zhu, F. 2017 · 2017
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A Practical Framework of Conversion Rate Prediction for Online Display Advertising
Lu, Q.; Pan, S.; Wang, L.; Pan, J.; Wan, F.; and Yang, H. 2017 · 2017
Cited alongside, same era.
Optimized cost per click in taobao display advertising
Zhu, H.; Jin, J.; Tan, C.; Pan, F.; Zeng, Y.; Li, H.; and Gai, K. 2017 · 2017
A Nonparametric Delayed Feedback Model for Conversion Rate Prediction abs/1802.00255
Yoshikawa, Y.; and Imai, Y. 2018 · 2018
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Deep Interest Network for Click-Through Rate Prediction
Zhou, G.; Zhu, X.; Song, C.; Fan, Y.; Zhu, H.; Ma, X.; Yan, Y.; Jin, J.; Li, H.; and Gai, K. 2018 · 2018
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Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
Dai, Z.; Yang, Z.; Yang, Y.; Carbonell, J. G.; Le, Q. V.; and Salakhutdinov, R. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.; Lee, K.; and Toutanova, K. 2019 · 2019
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Deep Interest Evolution Network for Click-Through Rate Prediction
Zhou, G.; Mou, N.; Fan, Y.; Pi, Q.; Bian, W.; Zhou, C.; Zhu, X.; and Gai, K. 2019 · 2019
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Cited alongside, same era.
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Lian, J.; Zhou, X.; Zhang, F.; Chen, Z.; Xie, X.; and Sun, G. 2018 · 2018
Cited alongside, same era.
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Ma, X.; Zhao, L.; Huang, G.; Wang, Z.; Hu, Z.; Zhu, X.; and Gai, K. 2018 · 2018
Cited alongside, same era.
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration
Su, Y.; Zhang, L.; Dai, Q.; Zhang, B.; Yan, J.; Wang, D.; Bao, Y.; Xu, S.; He, Y.; and Yan, W. 2020 · 2020
Closest in time.
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
Wen, H.; Zhang, J.; Wang, Y.; Lv, F.; Bao, W.; Lin, Q.; and Yang, K. 2020 · 2020
Closest in time.