Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
Fuente:
arXiv
Guardado en:
| Autores principales: | Qiu, Zhangchi, Tao, Ye, Pan, Shirui, Liew, Alan Wee-Chung |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Reasoning over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations
por: Qiu, Zhangchi, et al.
Publicado: (2024)
por: Qiu, Zhangchi, et al.
Publicado: (2024)
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
por: Qiu, Zhangchi, et al.
Publicado: (2025)
por: Qiu, Zhangchi, et al.
Publicado: (2025)
Preference-Consistent Knowledge Distillation for Recommender System
por: Zhu, Zhangchi, et al.
Publicado: (2023)
por: Zhu, Zhangchi, et al.
Publicado: (2023)
To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
por: Wang, Zhefan, et al.
Publicado: (2024)
por: Wang, Zhefan, et al.
Publicado: (2024)
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
por: Liu, Yuanxing, et al.
Publicado: (2023)
por: Liu, Yuanxing, et al.
Publicado: (2023)
Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
por: Zhu, Zhangchi, et al.
Publicado: (2025)
por: Zhu, Zhangchi, et al.
Publicado: (2025)
Item-Language Model for Conversational Recommendation
por: Yang, Li, et al.
Publicado: (2024)
por: Yang, Li, et al.
Publicado: (2024)
Knowledge Graph Driven Recommendation System Algorithm
por: Zhang, Chaoyang, et al.
Publicado: (2023)
por: Zhang, Chaoyang, et al.
Publicado: (2023)
RecGPT: Generative Pre-training for Text-based Recommendation
por: Ngo, Hoang, et al.
Publicado: (2024)
por: Ngo, Hoang, et al.
Publicado: (2024)
GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
por: Cheng, Xinghe, et al.
Publicado: (2025)
por: Cheng, Xinghe, et al.
Publicado: (2025)
Improving Conversational Recommendation Systems via Counterfactual Data Simulation
por: Wang, Xiaolei, et al.
Publicado: (2023)
por: Wang, Xiaolei, et al.
Publicado: (2023)
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
por: Schneider, Phillip, et al.
Publicado: (2024)
por: Schneider, Phillip, et al.
Publicado: (2024)
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
por: Wang, Xiaolei, et al.
Publicado: (2023)
por: Wang, Xiaolei, et al.
Publicado: (2023)
RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
por: Xu, Jian, et al.
Publicado: (2025)
por: Xu, Jian, et al.
Publicado: (2025)
Generative Representational Learning of Foundation Models for Recommendation
por: Zhou, Zheli, et al.
Publicado: (2025)
por: Zhou, Zheli, et al.
Publicado: (2025)
Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation
por: Li, Guanrong, et al.
Publicado: (2025)
por: Li, Guanrong, et al.
Publicado: (2025)
A Multi-Agent Conversational Recommender System
por: Fang, Jiabao, et al.
Publicado: (2024)
por: Fang, Jiabao, et al.
Publicado: (2024)
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
por: Zhu, Zhangchi, et al.
Publicado: (2024)
por: Zhu, Zhangchi, et al.
Publicado: (2024)
AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning
por: Ren, Xiaobin, et al.
Publicado: (2025)
por: Ren, Xiaobin, et al.
Publicado: (2025)
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
por: Zhao, Qian, et al.
Publicado: (2024)
por: Zhao, Qian, et al.
Publicado: (2024)
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
por: Li, Li, et al.
Publicado: (2024)
por: Li, Li, et al.
Publicado: (2024)
Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training
por: Ma, Haokai, et al.
Publicado: (2025)
por: Ma, Haokai, et al.
Publicado: (2025)
ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models
por: Chaffin, Antoine, et al.
Publicado: (2026)
por: Chaffin, Antoine, et al.
Publicado: (2026)
Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
por: Schneider, Phillip, et al.
Publicado: (2024)
por: Schneider, Phillip, et al.
Publicado: (2024)
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition
por: Yao, Zheng, et al.
Publicado: (2025)
por: Yao, Zheng, et al.
Publicado: (2025)
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
por: Yang, Yuhao, et al.
Publicado: (2023)
por: Yang, Yuhao, et al.
Publicado: (2023)
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
por: Luo, Linhao, et al.
Publicado: (2025)
por: Luo, Linhao, et al.
Publicado: (2025)
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
por: Kim, Yejin, et al.
Publicado: (2024)
por: Kim, Yejin, et al.
Publicado: (2024)
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
por: Xi, Yunjia, et al.
Publicado: (2024)
por: Xi, Yunjia, et al.
Publicado: (2024)
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
por: Li, Yuhan, et al.
Publicado: (2025)
por: Li, Yuhan, et al.
Publicado: (2025)
Large Language Models Make Sample-Efficient Recommender Systems
por: Lin, Jianghao, et al.
Publicado: (2024)
por: Lin, Jianghao, et al.
Publicado: (2024)
Large Language Models are Zero-Shot Rankers for Recommender Systems
por: Hou, Yupeng, et al.
Publicado: (2023)
por: Hou, Yupeng, et al.
Publicado: (2023)
A Survey on Large Language Models in Multimodal Recommender Systems
por: Lopez-Avila, Alejo, et al.
Publicado: (2025)
por: Lopez-Avila, Alejo, et al.
Publicado: (2025)
Break the Optimization Barrier of LLM-Enhanced Recommenders: A Theoretical Analysis and Practical Framework
por: Zhu, Zhangchi, et al.
Publicado: (2026)
por: Zhu, Zhangchi, et al.
Publicado: (2026)
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
por: He, Zhankui, et al.
Publicado: (2024)
por: He, Zhankui, et al.
Publicado: (2024)
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
por: Li, Mufei, et al.
Publicado: (2024)
por: Li, Mufei, et al.
Publicado: (2024)
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models
por: Pradeep, Ronak, et al.
Publicado: (2024)
por: Pradeep, Ronak, et al.
Publicado: (2024)
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
por: Yoon, Se-eun, et al.
Publicado: (2024)
por: Yoon, Se-eun, et al.
Publicado: (2024)
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion
por: Zhao, Zicheng, et al.
Publicado: (2024)
por: Zhao, Zicheng, et al.
Publicado: (2024)
Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
por: Zou, Jie, et al.
Publicado: (2025)
por: Zou, Jie, et al.
Publicado: (2025)
Ejemplares similares
-
Reasoning over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations
por: Qiu, Zhangchi, et al.
Publicado: (2024) -
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
por: Qiu, Zhangchi, et al.
Publicado: (2025) -
Preference-Consistent Knowledge Distillation for Recommender System
por: Zhu, Zhangchi, et al.
Publicado: (2023) -
To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
por: Wang, Zhefan, et al.
Publicado: (2024) -
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
por: Liu, Yuanxing, et al.
Publicado: (2023)