Cover Image

Double Correction Framework for Denoising Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Zhuangzhuang, Wang, Yifan, Yang, Yonghui, Sun, Peijie, Wu, Le, Bai, Haoyue, Gong, Jinqi, Hong, Richang, Zhang, Min
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
by: Bai, Haoyue, et al.
Published: (2024)

Less is More: Information Bottleneck Denoised Multimedia Recommendation
by: Yang, Yonghui, et al.
Published: (2025)

It is Never Too Late to Mend: Separate Learning for Multimedia Recommendation
by: He, Zhuangzhuang, et al.
Published: (2024)

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2024)

Graph Bottlenecked Social Recommendation
by: Yang, Yonghui, et al.
Published: (2024)

When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation
by: Chen, Weipu, et al.
Published: (2024)

Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning
by: Yang, Yonghui, et al.
Published: (2025)

Denoised Recommendation Model with Collaborative Signal Decoupling
by: Li, Zefeng, et al.
Published: (2025)

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
by: Sun, Peijie, et al.
Published: (2024)

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
by: Wang, Yu, et al.
Published: (2025)

Denoising Time Cycle Modeling for Recommendation
by: Xie, Sicong, et al.
Published: (2024)

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)

Denoising Long- and Short-term Interests for Sequential Recommendation
by: Zhang, Xinyu, et al.
Published: (2024)

Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation
by: Zha, Yongfu, et al.
Published: (2025)

A Survey on Generative Recommendation: Data, Model, and Tasks
by: Hou, Min, et al.
Published: (2025)

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
by: Wang, Bohao, et al.
Published: (2024)

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
by: Shang, Yu, et al.
Published: (2025)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
by: Hu, Wenbo, et al.
Published: (2023)

Enhancing Recommendation with Denoising Auxiliary Task
by: Liu, Pengsheng, et al.
Published: (2024)

Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
by: Song, Tianrui, et al.
Published: (2024)

Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
by: Lan, Yuqin, et al.
Published: (2025)

Enhancing News Recommendation with Hierarchical LLM Prompting
by: Kieu, Hai-Dang, et al.
Published: (2025)

PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence
by: Shi, Yunxiao, et al.
Published: (2025)

MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
by: Kong, Xiaoyu, et al.
Published: (2025)

Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
by: Cui, Xiaoxi, et al.
Published: (2025)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
by: Wang, Hao, et al.
Published: (2024)

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
by: Hou, Min, et al.
Published: (2025)

DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation
by: He, Xinyu, et al.
Published: (2024)

DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
by: Tian, Jiahao, et al.
Published: (2025)

Towards Trustworthy LLM-Based Recommendation via Rationale Integration
by: Park, Chung, et al.
Published: (2025)

A Framework for Lightweight Responsible Prompting Recommendation
by: Machado, Tiago, et al.
Published: (2025)

Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation
by: Liang, Jiazhou, et al.
Published: (2026)

Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
by: Zheng, Bowen, et al.
Published: (2024)

SSLRec: A Self-Supervised Learning Framework for Recommendation
by: Ren, Xubin, et al.
Published: (2023)

Causality Enhancement for Cross-Domain Recommendation
by: Wu, Zhibo, et al.
Published: (2025)

LLMs for User Interest Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2024)

Generative Multi-Target Cross-Domain Recommendation
by: Jin, Jinqiu, et al.
Published: (2025)

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
by: Shi, Yunxiao, et al.
Published: (2025)

Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation
by: Park, Chung, et al.
Published: (2024)

Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation
by: Zhang, Benyu, et al.
Published: (2026)