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Joint Optimization of Ranking and Calibration with Contextualized Hybrid
  Model

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

12 August 2022
Xiang-Rong Sheng
Jingyue Gao
Yueyao Cheng
Siran Yang
Shuguang Han
Hongbo Deng
Yuning Jiang
Jian Xu
Bo Zheng
ArXivPDFHTML

Papers citing "Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model"

14 / 14 papers shown
Title
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
Yimeng Bai
Shunyu Zhang
Wenjie Qu
Hu Liu
Wentian Bao
Enyun Yu
Fuli Feng
Wenwu Ou
35
0
0
19 Apr 2025
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
Rong Chen
Shuzhi Cao
Ailong He
Shuguang Han
Jufeng Chen
54
0
0
24 Mar 2025
Learning Cascade Ranking as One Network
Yunli Wang
Zhenru Zhang
Zihan Wang
Zhengyuan Yang
Yunshui Li
Jian Yang
Shiyang Wen
Peng Jiang
Kun Gai
49
0
0
13 Mar 2025
A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation Systems
A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation Systems
Binglei Zhao
Houying Qi
Guang Xu
Mian Ma
Xiwei Zhao
Feng Mei
Sulong Xu
Jinghe Hu
57
0
0
17 Feb 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
Fuhang Liang
Rucong Xu
Deng Lin
OOD
38
0
0
10 Jan 2025
Scaling Laws for Online Advertisement Retrieval
Scaling Laws for Online Advertisement Retrieval
Yunli Wang
Zhengyuan Yang
Z. Zhang
Zhiqiang Wang
Jian Yang
Shiyang Wen
Peng Jiang
Kun Gai
OffRL
75
4
0
20 Nov 2024
Enhancing Taobao Display Advertising with Multimodal Representations:
  Challenges, Approaches and Insights
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
Xiang-Rong Sheng
Feifan Yang
Litong Gong
Biao Wang
Zhangming Chan
...
Tiezheng Ge
Ziru Xu
Yuning Jiang
Jian Xu
Bo Zheng
39
2
0
28 Jul 2024
A Self-boosted Framework for Calibrated Ranking
A Self-boosted Framework for Calibrated Ranking
Shunyu Zhang
Hu Liu
Wentian Bao
Enyun Yu
Yang Song
54
2
0
12 Jun 2024
Ads Recommendation in a Collapsed and Entangled World
Ads Recommendation in a Collapsed and Entangled World
Junwei Pan
Wei Xue
Ximei Wang
Haibin Yu
Xun Liu
Shijie Quan
Xueming Qiu
Dapeng Liu
Lei Xiao
Jie Jiang
53
5
0
22 Feb 2024
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR
  Prediction in Taobao
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Jingyue Gao
Shuguang Han
Ziru Xu
Siran Yang
Yuning Jiang
Jian Xu
Bo Zheng
33
11
0
06 Jun 2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Zhishan Zhao
Jing Gao
Yu Zhang
Shuguang Han
Siyuan Lou
...
Zhe Wang
Ziru Xu
Yuning Jiang
Jian Xu
Bo Zheng
32
9
0
06 Jun 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel
  Historical Data Reuse Approach
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Zhangming Chan
Yu Zhang
Shuguang Han
Yong Bai
Xiang-Rong Sheng
...
Jiacen Hu
Baolin Liu
Yuning Jiang
Jian Xu
Bo Zheng
23
10
0
22 May 2023
Towards Understanding the Overfitting Phenomenon of Deep Click-Through
  Rate Prediction Models
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models
Zhaorui Zhang
Xiang-Rong Sheng
Yujing Zhang
Biye Jiang
Shuguang Han
Hongbo Deng
Bo Zheng
CML
38
36
0
04 Sep 2022
On the Calibration and Uncertainty of Neural Learning to Rank Models
On the Calibration and Uncertainty of Neural Learning to Rank Models
Gustavo Penha
C. Hauff
179
30
0
12 Jan 2021
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