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08/09/2023
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction
Conversion rate (CVR) prediction is an essential task for large-scale e-...
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06/06/2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Click-Through Rate (CTR) prediction serves as a fundamental component in...
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06/06/2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Cascading architecture has been widely adopted in large-scale advertisin...
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05/22/2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Conversion rate (CVR) prediction is one of the core components in online...
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09/04/2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models
Deep learning techniques have been applied widely in industrial recommen...
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08/22/2022
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging
An industrial recommender system generally presents a hybrid list that c...
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08/12/2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
Despite the development of ranking optimization techniques, the pointwis...
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12/21/2021
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction
Nowadays, data-driven deep neural models have already shown remarkable p...
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10/01/2020
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
In this paper, we report the results of our participation in the TREC-CO...
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04/17/2020
Learning-to-Rank with BERT in TF-Ranking
This paper describes a machine learning algorithm for document (re)ranki...
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04/23/2017