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Key Details
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Developments
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FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR
Session 9: An Incremental Learning framework for large scale CTR prediction
CTR prediction
Rina Leibovitz: Dynamic Length Factorization Machines for CTR Prediction [IEEEBigData'21 Best Paper]
KDD 2023 - BERT4CTR: Combine Pre-trained Language Model with Non-textual Features for CTR Prediction
Kaggle Winning Solution Series: Ad click prediction
PR-271: DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
PRINT Personalized Relevance Incentive Network for CTR Prediction in Sponsored Search
Research on CTR Prediction Based on Deep Learning
Expert Insights
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Last Updated: August 20, 2026
Summary
For 2026, Ctrprediction remains one of the most searched-for creator profiles. Check back for the newest reports.
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![Rina Leibovitz: Dynamic Length Factorization Machines for CTR Prediction [IEEEBigData'21 Best Paper]](https://i.ytimg.com/vi/X5jARKrqBAM/mqdefault.jpg)
