Cover Image

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guan, Zhong, Wu, Likang, Zhao, Hongke, He, Ming, Fan, Jianpin
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

LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling
by: Guan, Zhong, et al.
Published: (2024)

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
by: Guan, Zhong, et al.
Published: (2025)

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
by: Li, Xinyu, et al.
Published: (2024)

Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach
by: Zhao, Chuang, et al.
Published: (2024)

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
by: Guan, Zhihao, et al.
Published: (2024)

Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
by: Lin, Xueting, et al.
Published: (2024)

A Survey on Large Language Models for Recommendation
by: Wu, Likang, et al.
Published: (2023)

DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
by: Zou, Xinchi, et al.
Published: (2026)

Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs
by: Zhao, Chuang, et al.
Published: (2024)

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information
by: Song, Chonggang, et al.
Published: (2024)

Semantic Codebook Learning for Dynamic Recommendation Models
by: Lv, Zheqi, et al.
Published: (2024)

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
by: Hong, Minjie, et al.
Published: (2025)

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
by: Wang, Yuhao, et al.
Published: (2025)

Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
by: Jeon, Minhye, et al.
Published: (2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
by: Wu, Junda, et al.
Published: (2024)

Semantic-Enhanced Relational Metric Learning for Recommender Systems
by: Li, Mingming, et al.
Published: (2024)

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2025)

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
by: Cui, Ziqiang, et al.
Published: (2024)

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

Learning to Fast Unrank in Collaborative Filtering Recommendation
by: Zhao, Junpeng, et al.
Published: (2025)

Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)

Diffusion-augmented Graph Contrastive Learning for Collaborative Filter
by: Huang, Fan, et al.
Published: (2025)

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
by: Cai, Rui, et al.
Published: (2025)

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

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
by: Zhao, Hongke, et al.
Published: (2024)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
by: Li, Qingyao, et al.
Published: (2024)

Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations
by: Wang, Minmao, et al.
Published: (2025)

Large Language Models Enhanced Hyperbolic Space Recommender Systems
by: Cheng, Wentao, et al.
Published: (2025)

RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
by: Zhan, Tianyu, et al.
Published: (2025)

An item is worth one token in Multimodal Large Language Models-based Sequential Recommendation
by: Zhong, Qiyong, et al.
Published: (2025)

Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models
by: Yong, Qian, et al.
Published: (2025)

Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations
by: Anand, Sarthak, et al.
Published: (2024)

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
by: Chen, Jinpeng, et al.
Published: (2025)

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
by: Xiang, Zhichen, et al.
Published: (2024)

Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
by: Yu, Jiaheng, et al.
Published: (2024)

Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)

Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation
by: Hu, Zhifei, et al.
Published: (2026)

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
by: Zhao, Ziwei, et al.
Published: (2024)