Cover Image

Denoising Neural Reranker for Recommender Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mao, Wenyu, Liu, Shuchang, Yang, Hailan, Wang, Xiaobei, Yang, Xiaoyu, Gao, Xu, Li, Xiang, Hu, Lantao, Li, Han, Gai, Kun, Zhang, An, Wang, Xiang
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

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

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
by: Jia, Pengyue, et al.
Published: (2026)

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space
by: Jia, Pengyue, et al.
Published: (2026)

GoalRank: Group-Relative Optimization for a Large Ranking Model
by: Zhang, Kaike, et al.
Published: (2025)

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
by: Hu, Guoqing, et al.
Published: (2025)

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation
by: Mao, Wenyu, et al.
Published: (2025)

Value Function Decomposition in Markov Recommendation Process
by: Wang, Xiaobei, et al.
Published: (2025)

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation
by: Yu, Qing, et al.
Published: (2025)

Future Impact Decomposition in Request-level Recommendations
by: Wang, Xiaobei, et al.
Published: (2024)

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

Explicit Uncertainty Modeling for Video Watch Time Prediction
by: Wu, Shanshan, et al.
Published: (2025)

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
by: Meng, Chang, et al.
Published: (2024)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
by: Liu, Ziru, et al.
Published: (2024)

An End-to-End Multi-objective Ensemble Ranking Framework for Video Recommendation
by: He, Tiantian, et al.
Published: (2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
by: Xue, Zhenghai, et al.
Published: (2023)

On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
by: Mao, Wenyu, et al.
Published: (2025)

Modeling User Fatigue for Sequential Recommendation
by: Li, Nian, et al.
Published: (2024)

Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
by: Li, Na, et al.
Published: (2026)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
by: Gao, Jingtong, et al.
Published: (2024)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
by: Xu, Xiaoxiao, et al.
Published: (2025)

FlashEvaluator: Expanding Search Space with Parallel Evaluation
by: Feng, Chao, et al.
Published: (2026)

Automating Personalization: Prompt Optimization for Recommendation Reranking
by: Wang, Chen, et al.
Published: (2025)

Addressing Missing Data Issue for Diffusion-based Recommendation
by: Mao, Wenyu, et al.
Published: (2025)

Reinforced Prompt Personalization for Recommendation with Large Language Models
by: Mao, Wenyu, et al.
Published: (2024)

SOLAR: SVD-Optimized Lifelong Attention for Recommendation
by: Zhang, Chenghao, et al.
Published: (2026)

DADF: A Distribution-Aware Debiasing Framework for Watch-Time Regression in Recommender Systems
by: Yang, Yiqing, et al.
Published: (2026)

A Model-based Multi-Agent Personalized Short-Video Recommender System
by: Zhou, Peilun, et al.
Published: (2024)

Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-based Reranking
by: Li, Chuang, et al.
Published: (2025)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
by: Zhang, Zijian, et al.
Published: (2024)

ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval
by: Zheng, Yuanhang, et al.
Published: (2024)

LLM-Alignment Live-Streaming Recommendation
by: Liu, Yueyang, et al.
Published: (2025)

MaRI: Accelerating Ranking Model Inference via Structural Re-parameterization in Large Scale Recommendation System
by: Huang, Yusheng, et al.
Published: (2026)

Non-autoregressive Generative Models for Reranking Recommendation
by: Ren, Yuxin, et al.
Published: (2024)

Generative Recommender with End-to-End Learnable Item Tokenization
by: Liu, Enze, et al.
Published: (2024)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
by: Li, Kaiyuan, et al.
Published: (2025)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
by: Zhang, Yabin, et al.
Published: (2024)

Modeling User Retention through Generative Flow Networks
by: Liu, Ziru, et al.
Published: (2024)

Semantics-Aware Denoising: A PLM-Guided Sample Reweighting Strategy for Robust Recommendation
by: Yang, Xikai, et al.
Published: (2026)

A Survey on Trustworthy Recommender Systems
by: Ge, Yingqiang, et al.
Published: (2022)

A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation
by: Liu, Xiaoyu, et al.
Published: (2025)