Cover Image

A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meng, Yue, Guo, Cheng, Cao, Yi, Liu, Tong, Zheng, Bo
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

User Long-Term Multi-Interest Retrieval Model for Recommendation
by: Meng, Yue, et al.
Published: (2025)

Beyond Positive History: Re-ranking with List-level Hybrid Feedback
by: Weng, Muyan, et al.
Published: (2024)

From Generation to Consumption: Personalized List Value Estimation for Re-ranking
by: Zhang, Kaike, et al.
Published: (2025)

Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao
by: Chen, Xu, et al.
Published: (2024)

Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
by: Liu, Xingxian, et al.
Published: (2025)

Large Language Model based Long-tail Query Rewriting in Taobao Search
by: Peng, Wenjun, et al.
Published: (2023)

Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
by: Ma, Yingcai, et al.
Published: (2024)

USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations
by: Zheng, Jiaqi, et al.
Published: (2025)

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
by: Sheng, Xiang-Rong, et al.
Published: (2024)

Constraint-Aware Generative Re-ranking for Multi-Objective Optimization in Advertising Feeds
by: Li, Chenfei, et al.
Published: (2026)

LEAPS: An LLM-Empowered Adaptive Plugin in Taobao AI Search
by: Wang, Lei, et al.
Published: (2026)

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
by: Zhang, Bin, et al.
Published: (2026)

KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
by: Sun, Zhi, et al.
Published: (2026)

A Taxation Perspective for Fair Re-ranking
by: Xu, Chen, et al.
Published: (2024)

SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation
by: Chen, Chao, et al.
Published: (2026)

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search
by: Guo, Zihao, et al.
Published: (2026)

Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking
by: Stefancova, Elena, et al.
Published: (2024)

The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
by: Xu, Chen, et al.
Published: (2026)

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation
by: Wang, Xindi, et al.
Published: (2024)

PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking
by: Zhou, Wei, et al.
Published: (2026)

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
by: Zhang, Le, et al.
Published: (2025)

Non-parametric Graph Convolution for Re-ranking in Recommendation Systems
by: Ouyang, Zhongyu, et al.
Published: (2025)

MICE: Minimal Interaction Cross-Encoders for efficient Re-ranking
by: Vast, Mathias, et al.
Published: (2026)

AQR-HNSW: Accelerating Approximate Nearest Neighbor Search via Density-aware Quantization and Multi-stage Re-ranking
by: Tewary, Ganap Ashit, et al.
Published: (2026)

Enhancing Recommendation Diversity by Re-ranking with Large Language Models
by: Carraro, Diego, et al.
Published: (2024)

Multi-Scenario User Profile Construction via Recommendation Lists
by: Zhang, Hui, et al.
Published: (2026)

Comprehensive List Generation for Multi-Generator Reranking
by: Yang, Hailan, et al.
Published: (2025)

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
by: Xu, Chen, et al.
Published: (2025)

Generating Negative Samples for Multi-Modal Recommendation
by: Ji, Yanbiao, et al.
Published: (2025)

Re-ranking Based Diversification: A Unifying View
by: Parambath, Shameem A Puthiya
Published: (2019)

Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
by: Samarinas, Chris, et al.
Published: (2025)

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
by: Ye, Xiaopeng, et al.
Published: (2025)

A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search
by: Wang, Huimu, et al.
Published: (2024)

Token-level Collaborative Alignment for LLM-based Generative Recommendation
by: Lin, Fake, et al.
Published: (2026)

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
by: Ye, Xiaopeng, et al.
Published: (2024)

ListConRanker: A Contrastive Text Reranker with Listwise Encoding
by: Liu, Junlong, et al.
Published: (2025)

Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation
by: Zhang, Shengyu, et al.
Published: (2022)

MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems
by: Xiao, Qiang Charles, et al.
Published: (2024)

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
by: Fu, Rong, et al.
Published: (2026)

Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2026)