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PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework
in E-commerce

PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce

Knowledge Discovery and Data Mining (KDD), 2023

6 February 2023

Fan Yang

ArXiv (abs)PDF HTML Github (21★)

Papers citing "PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce"

8 / 8 papers shown

GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction

GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction

109

1

0

29 Oct 2025

GoalRank: Group-Relative Optimization for a Large Ranking Model

GoalRank: Group-Relative Optimization for a Large Ranking Model

178

0

0

26 Sep 2025

Denoising Neural Reranker for Recommender Systems

Denoising Neural Reranker for Recommender Systems

...

259

0

0

23 Sep 2025

You Only Evaluate Once: A Tree-based Rerank Method at Meituan

You Only Evaluate Once: A Tree-based Rerank Method at Meituan

Yongqiang Zhang

182

4

0

20 Aug 2025

RewardRank: Optimizing True Learning-to-Rank Utility

RewardRank: Optimizing True Learning-to-Rank Utility

K. K. Thekumparampil

Tanmay Gangwani

205

0

0

19 Aug 2025

Comprehensive List Generation for Multi-Generator Reranking

Comprehensive List Generation for Multi-Generator RerankingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025

195

8

0

22 Apr 2025

Advancing Re-Ranking with Multimodal Fusion and Target-Oriented
Auxiliary Tasks in E-Commerce Search

Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce SearchInternational Conference on Information and Knowledge Management (CIKM), 2024

314

4

0

11 Aug 2024

Non-autoregressive Generative Models for Reranking Recommendation

Non-autoregressive Generative Models for Reranking RecommendationKnowledge Discovery and Data Mining (KDD), 2024

443

37

0

10 Feb 2024

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