Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Yang, You, Juntao, Bai, Yimeng, Zhang, Jizhi, Bao, Keqin, Wang, Wenjie, Chua, Tat-Seng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Prospect Personalized Recommendation on Large Language Model-based Agent Platform
por: Zhang, Jizhi, et al.
Publicado: (2024)
por: Zhang, Jizhi, et al.
Publicado: (2024)
NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
por: Zhao, Xiaoyan, et al.
Publicado: (2025)
por: Zhao, Xiaoyan, et al.
Publicado: (2025)
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
por: Cai, Shihao, et al.
Publicado: (2024)
por: Cai, Shihao, et al.
Publicado: (2024)
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation
por: He, Yingzhi, et al.
Publicado: (2025)
por: He, Yingzhi, et al.
Publicado: (2025)
On Generative Agents in Recommendation
por: Zhang, An, et al.
Publicado: (2023)
por: Zhang, An, et al.
Publicado: (2023)
Distillation Enhanced Generative Retrieval
por: Li, Yongqi, et al.
Publicado: (2024)
por: Li, Yongqi, et al.
Publicado: (2024)
Language Representations Can be What Recommenders Need: Findings and Potentials
por: Sheng, Leheng, et al.
Publicado: (2024)
por: Sheng, Leheng, et al.
Publicado: (2024)
Large Language Models Empowered Personalized Web Agents
por: Cai, Hongru, et al.
Publicado: (2024)
por: Cai, Hongru, et al.
Publicado: (2024)
On Softmax Direct Preference Optimization for Recommendation
por: Chen, Yuxin, et al.
Publicado: (2024)
por: Chen, Yuxin, et al.
Publicado: (2024)
Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
por: Bao, Keqin, et al.
Publicado: (2024)
por: Bao, Keqin, et al.
Publicado: (2024)
Reasoning over Semantic IDs Enhances Generative Recommendation
por: He, Yingzhi, et al.
Publicado: (2026)
por: He, Yingzhi, et al.
Publicado: (2026)
Learnable Item Tokenization for Generative Recommendation
por: Wang, Wenjie, et al.
Publicado: (2024)
por: Wang, Wenjie, et al.
Publicado: (2024)
Towards Goal-oriented Intelligent Tutoring Systems in Online Education
por: Deng, Yang, et al.
Publicado: (2023)
por: Deng, Yang, et al.
Publicado: (2023)
Preference Diffusion for Recommendation
por: Liu, Shuo, et al.
Publicado: (2024)
por: Liu, Shuo, et al.
Publicado: (2024)
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
por: Su, Jiajie, et al.
Publicado: (2025)
por: Su, Jiajie, et al.
Publicado: (2025)
Item-side Fairness of Large Language Model-based Recommendation System
por: Jiang, Meng, et al.
Publicado: (2024)
por: Jiang, Meng, et al.
Publicado: (2024)
NextMem: Towards Latent Factual Memory for LLM-based Agents
por: Zhang, Zeyu, et al.
Publicado: (2026)
por: Zhang, Zeyu, et al.
Publicado: (2026)
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
por: Wang, Chengbing, et al.
Publicado: (2025)
por: Wang, Chengbing, et al.
Publicado: (2025)
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
por: Zhang, Yang, et al.
Publicado: (2023)
por: Zhang, Yang, et al.
Publicado: (2023)
Causal Intervention for Fairness in Multi-behavior Recommendation
por: Wang, Xi, et al.
Publicado: (2022)
por: Wang, Xi, et al.
Publicado: (2022)
Personalized Recommendation Models in Federated Settings: A Survey
por: Zhang, Chunxu, et al.
Publicado: (2025)
por: Zhang, Chunxu, et al.
Publicado: (2025)
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
por: Bao, Keqin, et al.
Publicado: (2023)
por: Bao, Keqin, et al.
Publicado: (2023)
Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning
por: Zheng, Shanle, et al.
Publicado: (2025)
por: Zheng, Shanle, et al.
Publicado: (2025)
Brownian Bridge Diffusion for Sequential Recommendation
por: Bai, Yimeng, et al.
Publicado: (2025)
por: Bai, Yimeng, et al.
Publicado: (2025)
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation
por: Bao, Keqin, et al.
Publicado: (2024)
por: Bao, Keqin, et al.
Publicado: (2024)
PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence
por: Shi, Yunxiao, et al.
Publicado: (2025)
por: Shi, Yunxiao, et al.
Publicado: (2025)
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
por: Fan, Wenqi, et al.
Publicado: (2024)
por: Fan, Wenqi, et al.
Publicado: (2024)
Generative Recommendation: Towards Next-generation Recommender Paradigm
por: Wang, Wenjie, et al.
Publicado: (2023)
por: Wang, Wenjie, et al.
Publicado: (2023)
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
por: Su, Jiajie, et al.
Publicado: (2024)
por: Su, Jiajie, et al.
Publicado: (2024)
Heterogeneous User Modeling for LLM-based Recommendation
por: Bao, Honghui, et al.
Publicado: (2025)
por: Bao, Honghui, et al.
Publicado: (2025)
Diffusion Recommender Model
por: Wang, Wenjie, et al.
Publicado: (2023)
por: Wang, Wenjie, et al.
Publicado: (2023)
Denoising Diffusion Recommender Model
por: Zhao, Jujia, et al.
Publicado: (2024)
por: Zhao, Jujia, et al.
Publicado: (2024)
R$^2$ec: Towards Large Recommender Models with Reasoning
por: You, Runyang, et al.
Publicado: (2025)
por: You, Runyang, et al.
Publicado: (2025)
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond
por: Li, Yongqi, et al.
Publicado: (2024)
por: Li, Yongqi, et al.
Publicado: (2024)
TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
por: Wang, Qingzhuo, et al.
Publicado: (2026)
por: Wang, Qingzhuo, et al.
Publicado: (2026)
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
por: Hong, Minjie, et al.
Publicado: (2025)
por: Hong, Minjie, et al.
Publicado: (2025)
CausalRec: A CausalBoost Attention Model for Sequential Recommendation
por: Hou, Yunbo, et al.
Publicado: (2025)
por: Hou, Yunbo, et al.
Publicado: (2025)
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
por: Guan, Zhihao, et al.
Publicado: (2024)
por: Guan, Zhihao, et al.
Publicado: (2024)
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
por: Huang, Jiani, et al.
Publicado: (2025)
por: Huang, Jiani, et al.
Publicado: (2025)
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
por: Zheng, Bowen, et al.
Publicado: (2024)
por: Zheng, Bowen, et al.
Publicado: (2024)
Ejemplares similares
-
Prospect Personalized Recommendation on Large Language Model-based Agent Platform
por: Zhang, Jizhi, et al.
Publicado: (2024) -
NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
por: Zhao, Xiaoyan, et al.
Publicado: (2025) -
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
por: Cai, Shihao, et al.
Publicado: (2024) -
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation
por: He, Yingzhi, et al.
Publicado: (2025) -
On Generative Agents in Recommendation
por: Zhang, An, et al.
Publicado: (2023)