Imagen de Portada

NFARec: A Negative Feedback-Aware Recommender Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Xinfeng, Fukumoto, Fumiyo, Cui, Jin, Suzuki, Yoshimi, Yu, Dongjin
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enhancing High-order Interaction Awareness in LLM-based Recommender Model
por: Wang, Xinfeng, et al.
Publicado: (2024)

CaDRec: Contextualized and Debiased Recommender Model
por: Wang, Xinfeng, et al.
Publicado: (2024)

RDRec: Rationale Distillation for LLM-based Recommendation
por: Wang, Xinfeng, et al.
Publicado: (2024)

Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System
por: Pan, Yunzhu, et al.
Publicado: (2023)

Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning
por: Seshadri, Pavan, et al.
Publicado: (2024)

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation
por: Liu, Yuting, et al.
Publicado: (2024)

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
por: Cui, Yu, et al.
Publicado: (2026)

Towards Reliable Negative Sampling for Recommendation with Implicit Feedback via In-Community Popularity
por: Chen, Chen, et al.
Publicado: (2026)

Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis
por: Cui, Jin, et al.
Publicado: (2024)

Hard Negative Sampling via Large Language Models for Recommendation
por: Zhao, Chu, et al.
Publicado: (2025)

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
por: Huang, Chengkai, et al.
Publicado: (2024)

Enhancing Recommender Systems: A Strategy to Mitigate False Negative Impact
por: Shi, Kexin, et al.
Publicado: (2022)

Negative Sampling in Recommendation: A Survey and Future Directions
por: Ma, Haokai, et al.
Publicado: (2024)

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
por: Wang, Jie, et al.
Publicado: (2022)

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
por: Zhang, Changshuo, et al.
Publicado: (2024)

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation
por: Cui, Yu, et al.
Publicado: (2025)

Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
por: Li, Yuanzi, et al.
Publicado: (2026)

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

On Negative-aware Preference Optimization for Recommendation
por: Ding, Chenlu, et al.
Publicado: (2025)

APAO: Adaptive Prefix-Aware Optimization for Generative Recommendation
por: Yu, Yuanqing, et al.
Publicado: (2026)

Understanding the Ranking Loss for Recommendation with Sparse User Feedback
por: Lin, Zhutian, et al.
Publicado: (2024)

Debiased Recommendation with Noisy Feedback
por: Li, Haoxuan, et al.
Publicado: (2024)

Negative Feedback for Music Personalization
por: Mei, M. Jeffrey, et al.
Publicado: (2024)

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling
por: Di Teodoro, Giulia, et al.
Publicado: (2024)

A Worrying Reproducibility Study of Intent-Aware Recommendation Models
por: Shehzad, Faisal, et al.
Publicado: (2025)

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
por: Shi, Kexin, et al.
Publicado: (2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
por: Cui, Yu, et al.
Publicado: (2024)

Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling
por: Subbiah, Anushya, et al.
Publicado: (2024)

SA-CAISR: Stage-Adaptive and Conflict-Aware Incremental Sequential Recommendation
por: Song, Xiaomeng, et al.
Publicado: (2026)

FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation
por: Li, Xiaodong, et al.
Publicado: (2025)

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback
por: Wang, Yifan, et al.
Publicado: (2025)

Improve Temporal Awareness of LLMs for Sequential Recommendation
por: Chu, Zhendong, et al.
Publicado: (2024)

USM: Unbiased Survey Modeling for Limiting Negative User Experiences in Recommendation Systems
por: Yu, Chenghui, et al.
Publicado: (2024)

Personalized Denoising Implicit Feedback for Robust Recommender System
por: Zhang, Kaike, et al.
Publicado: (2025)

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
por: Cai, Shihao, et al.
Publicado: (2024)

Geography-Aware Large Language Models for Next POI Recommendation
por: Liu, Zhao, et al.
Publicado: (2025)

S-GRec: Personalized Semantic-Aware Generative Recommendation with Asymmetric Advantage
por: Jiang, Jie, et al.
Publicado: (2026)

Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns
por: Ivanova, Veronika, et al.
Publicado: (2025)

User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
por: Wang, Jianling, et al.
Publicado: (2025)

Stratified Expert Cloning for Retention-Aware Recommendation at Scale
por: Lin, Chengzhi, et al.
Publicado: (2025)