Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yunli, Wang, Zhiqiang, Yang, Jian, Wen, Shiyang, Kong, Dongying, Li, Han, Gai, Kun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Cascade Ranking as One Network
by: Wang, Yunli, et al.
Published: (2025)
by: Wang, Yunli, et al.
Published: (2025)
Adaptive$^2$: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling
by: Sun, Wenxuan, et al.
Published: (2024)
by: Sun, Wenxuan, et al.
Published: (2024)
Differentiable Fast Top-K Selection for Large-Scale Recommendation
by: Zhu, Yanjie, et al.
Published: (2025)
by: Zhu, Yanjie, et al.
Published: (2025)
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
by: Fan, Zhongxiang, et al.
Published: (2024)
by: Fan, Zhongxiang, et al.
Published: (2024)
Revenue Maximization and Learning in Products Ranking
by: Chen, Ningyuan, et al.
Published: (2020)
by: Chen, Ningyuan, et al.
Published: (2020)
Scaling Laws for Online Advertisement Retrieval
by: Wang, Yunli, et al.
Published: (2024)
by: Wang, Yunli, et al.
Published: (2024)
Learning Permutation Distributions via Reflected Diffusion on Ranks
by: He, Sizhuang, et al.
Published: (2026)
by: He, Sizhuang, et al.
Published: (2026)
Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
by: Ghaffari, Fatemeh, et al.
Published: (2025)
by: Ghaffari, Fatemeh, et al.
Published: (2025)
AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking
by: Kou, Zhi, et al.
Published: (2025)
by: Kou, Zhi, et al.
Published: (2025)
FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment
by: Zaccone, Riccardo, et al.
Published: (2026)
by: Zaccone, Riccardo, et al.
Published: (2026)
Adaptively Learning to Select-Rank in Online Platforms
by: Wang, Jingyuan, et al.
Published: (2024)
by: Wang, Jingyuan, et al.
Published: (2024)
CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure
by: Kong, Boao, et al.
Published: (2025)
by: Kong, Boao, et al.
Published: (2025)
Conditional Rank-Rank Regression via Deep Conditional Transformation Models
by: Wang, Xiaoyi, et al.
Published: (2026)
by: Wang, Xiaoyi, et al.
Published: (2026)
Detecting and Ranking Causal Anomalies in End-to-End Complex System
by: Chang, Ching, et al.
Published: (2023)
by: Chang, Ching, et al.
Published: (2023)
Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization
by: Gao, Yihang, et al.
Published: (2025)
by: Gao, Yihang, et al.
Published: (2025)
COFFEE: COdesign Framework for Feature Enriched Embeddings in Ads-Ranking Systems
by: Roychowdhury, Sohini, et al.
Published: (2026)
by: Roychowdhury, Sohini, et al.
Published: (2026)
CaliCausalRank: Calibrated Multi-Objective Ad Ranking with Robust Counterfactual Utility Optimization
by: Yang, Xikai, et al.
Published: (2026)
by: Yang, Xikai, et al.
Published: (2026)
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
by: Zhang, Dacao, et al.
Published: (2025)
by: Zhang, Dacao, et al.
Published: (2025)
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
by: Wang, Yancheng, et al.
Published: (2024)
by: Wang, Yancheng, et al.
Published: (2024)
QAMRO: Quality-aware Adaptive Margin Ranking Optimization for Human-aligned Assessment of Audio Generation Systems
by: Wang, Chien-Chun, et al.
Published: (2025)
by: Wang, Chien-Chun, et al.
Published: (2025)
Blending Learning to Rank and Dense Representations for Efficient and Effective Cascades
by: Nardini, Franco Maria, et al.
Published: (2025)
by: Nardini, Franco Maria, et al.
Published: (2025)
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
by: Refael, Yehonathan, et al.
Published: (2024)
by: Refael, Yehonathan, et al.
Published: (2024)
Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation
by: Gomez, Camilo, et al.
Published: (2026)
by: Gomez, Camilo, et al.
Published: (2026)
LambdaRankIC: Directly Optimizing Rank IC for Financial Prediction
by: Lin, Yan, et al.
Published: (2026)
by: Lin, Yan, et al.
Published: (2026)
GoalRank: Group-Relative Optimization for a Large Ranking Model
by: Zhang, Kaike, et al.
Published: (2025)
by: Zhang, Kaike, et al.
Published: (2025)
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
by: Wang, Shaowen, et al.
Published: (2024)
by: Wang, Shaowen, et al.
Published: (2024)
Learning Counterfactual Outcomes Under Rank Preservation
by: Wu, Peng, et al.
Published: (2025)
by: Wu, Peng, et al.
Published: (2025)
A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics
by: Li, Chengrui, et al.
Published: (2025)
by: Li, Chengrui, et al.
Published: (2025)
Accelerating the Low-Rank Decomposed Models
by: Hajimolahoseini, Habib, et al.
Published: (2024)
by: Hajimolahoseini, Habib, et al.
Published: (2024)
Low-Rank Adaptation of Neural Fields
by: Truong, Anh, et al.
Published: (2025)
by: Truong, Anh, et al.
Published: (2025)
SARA: Singular-Value Based Adaptive Low-Rank Adaption
by: Gu, Jihao, et al.
Published: (2024)
by: Gu, Jihao, et al.
Published: (2024)
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning
by: Feng, Jinyuan, et al.
Published: (2025)
by: Feng, Jinyuan, et al.
Published: (2025)
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification
by: Wang, Zitai, et al.
Published: (2024)
by: Wang, Zitai, et al.
Published: (2024)
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
by: Zhang, Boning, et al.
Published: (2024)
by: Zhang, Boning, et al.
Published: (2024)
Generalization Bounds for Rank-sparse Neural Networks
by: Ledent, Antoine, et al.
Published: (2025)
by: Ledent, Antoine, et al.
Published: (2025)
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning
by: Zhao, Ziyu, et al.
Published: (2025)
by: Zhao, Ziyu, et al.
Published: (2025)
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
by: Xiao, Teng, et al.
Published: (2024)
by: Xiao, Teng, et al.
Published: (2024)
A Self-boosted Framework for Calibrated Ranking
by: Zhang, Shunyu, et al.
Published: (2024)
by: Zhang, Shunyu, et al.
Published: (2024)
MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning
by: Wang, Maolin, et al.
Published: (2025)
by: Wang, Maolin, et al.
Published: (2025)
Goal-Oriented Influence-Maximizing Data Acquisition for Learning and Optimization
by: Yao, Weichi, et al.
Published: (2026)
by: Yao, Weichi, et al.
Published: (2026)
Similar Items
-
Learning Cascade Ranking as One Network
by: Wang, Yunli, et al.
Published: (2025) -
Adaptive$^2$: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling
by: Sun, Wenxuan, et al.
Published: (2024) -
Differentiable Fast Top-K Selection for Large-Scale Recommendation
by: Zhu, Yanjie, et al.
Published: (2025) -
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
by: Fan, Zhongxiang, et al.
Published: (2024) -
Revenue Maximization and Learning in Products Ranking
by: Chen, Ningyuan, et al.
Published: (2020)