Imagen de Portada

Item-side Fairness of Large Language Model-based Recommendation System

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Meng, Bao, Keqin, Zhang, Jizhi, Wang, Wenjie, Yang, Zhengyi, Feng, Fuli, He, Xiangnan
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

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
por: Zhang, Yang, et al.
Publicado: (2023)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
por: Bao, Keqin, et al.
Publicado: (2024)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
por: Bao, Keqin, et al.
Publicado: (2023)

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning
por: Zheng, Shanle, et al.
Publicado: (2025)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
por: Zhang, Yang, et al.
Publicado: (2024)

Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation
por: Ding, Hongxun, et al.
Publicado: (2026)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform
por: Zhang, Jizhi, et al.
Publicado: (2024)

Diffusion Models for Generative Outfit Recommendation
por: Xu, Yiyan, et al.
Publicado: (2024)

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

Exact and Efficient Unlearning for Large Language Model-based Recommendation
por: Hu, Zhiyu, et al.
Publicado: (2024)

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
por: Shi, Tianhao, et al.
Publicado: (2024)

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation
por: Bao, Keqin, et al.
Publicado: (2024)

Learnable Item Tokenization for Generative Recommendation
por: Wang, Wenjie, et al.
Publicado: (2024)

K-order Ranking Preference Optimization for Large Language Models
por: Cai, Shihao, et al.
Publicado: (2025)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
por: Fang, Yi, et al.
Publicado: (2025)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
por: Shi, Tianhao, et al.
Publicado: (2023)

Large Language Models are Learnable Planners for Long-Term Recommendation
por: Shi, Wentao, et al.
Publicado: (2024)

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
por: Wang, Bohao, et al.
Publicado: (2026)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
por: Lin, Xinyu, et al.
Publicado: (2023)

Proactive Recommendation with Iterative Preference Guidance
por: Bi, Shuxian, et al.
Publicado: (2024)

Generative Recommendation: Towards Next-generation Recommender Paradigm
por: Wang, Wenjie, et al.
Publicado: (2023)

Diffusion Recommender Model
por: Wang, Wenjie, et al.
Publicado: (2023)

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
por: Wang, Chengbing, et al.
Publicado: (2024)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
por: Wang, Chengbing, et al.
Publicado: (2024)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
por: Zhang, Yang, et al.
Publicado: (2024)

A Survey of Generative Search and Recommendation in the Era of Large Language Models
por: Li, Yongqi, et al.
Publicado: (2024)

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

LLaRA: Large Language-Recommendation Assistant
por: Liao, Jiayi, et al.
Publicado: (2023)

Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
por: Wang, Chengbing, et al.
Publicado: (2025)

Mitigating Hidden Confounding Effects for Causal Recommendation
por: Zhu, Xinyuan, et al.
Publicado: (2022)

Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription
por: Zhao, Zihao, et al.
Publicado: (2025)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
por: Shi, Wentao, et al.
Publicado: (2024)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation
por: Lin, Xinyu, et al.
Publicado: (2025)

The 2nd Workshop on Recommendation with Generative Models
por: Wang, Wenjie, et al.
Publicado: (2024)

Personalized Image Generation with Large Multimodal Models
por: Xu, Yiyan, et al.
Publicado: (2024)

Heterogeneous User Modeling for LLM-based Recommendation
por: Bao, Honghui, et al.
Publicado: (2025)

Causal Intervention for Fairness in Multi-behavior Recommendation
por: Wang, Xi, et al.
Publicado: (2022)

Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation
por: Xia, Chongjun, et al.
Publicado: (2026)

Efficient Inference for Large Language Model-based Generative Recommendation
por: Lin, Xinyu, et al.
Publicado: (2024)

Uncertainty-aware Generative Recommendation
por: Fan, Chenxiao, et al.
Publicado: (2026)