Imagen de Portada

Knowledge-Augmented Relation Learning for Complementary Recommendation with Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yamasaki, Chihiro, Sugahara, Kai, Okamoto, Kazushi
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Function-based Labels for Complementary Recommendation: Definition, Annotation, and LLM-as-a-Judge
por: Yamasaki, Chihiro, et al.
Publicado: (2025)

Hierarchical Matrix Factorization for Interpretable Collaborative Filtering
por: Sugahara, Kai, et al.
Publicado: (2023)

Can Large Language Models Assess Serendipity in Recommender Systems?
por: Tokutake, Yu, et al.
Publicado: (2024)

A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models
por: Tokutake, Yu, et al.
Publicado: (2025)

Aligning Large Language Models with Recommendation Knowledge
por: Cao, Yuwei, et al.
Publicado: (2024)

LLMRec: Large Language Models with Graph Augmentation for Recommendation
por: Wei, Wei, et al.
Publicado: (2023)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
por: Luo, Sichun, et al.
Publicado: (2025)

Sequential Recommendation with Latent Relations based on Large Language Model
por: Yang, Shenghao, et al.
Publicado: (2024)

Large Language Models as Data Augmenters for Cold-Start Item Recommendation
por: Wang, Jianling, et al.
Publicado: (2024)

Enhancing Sequential Recommendation with World Knowledge from Large Language Models
por: Dai, Tianjie, et al.
Publicado: (2025)

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
por: Yang, Shenghao, et al.
Publicado: (2024)

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

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation
por: Luo, Sichun, et al.
Publicado: (2024)

Consistency Regularization for Complementary Clothing Recommendations
por: Liao, Shuiying, et al.
Publicado: (2024)

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
por: Li, Dongyang, et al.
Publicado: (2024)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
por: Xu, Jian, et al.
Publicado: (2025)

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
por: Kieu, Hai-Dang, et al.
Publicado: (2024)

Intent Representation Learning with Large Language Model for Recommendation
por: Wang, Yu, et al.
Publicado: (2025)

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
por: Huang, Wei-Hsiang, et al.
Publicado: (2025)

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

Generation and annotation of item usage scenarios in e-commerce using large language models
por: Hagiri, Madoka, et al.
Publicado: (2025)

Similarity-Based Supervised User Session Segmentation Method for Behavior Logs
por: Jin, Yongzhi, et al.
Publicado: (2025)

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
por: Kim, Tongyoung, et al.
Publicado: (2024)

The Mental World of Large Language Models in Recommendation: A Benchmark on Association, Personalization, and Knowledgeability
por: Hu, Guangneng
Publicado: (2025)

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models
por: Xi, Yunjia, et al.
Publicado: (2024)

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

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

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

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation
por: Meng, Zeyuan, et al.
Publicado: (2025)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
por: Wang, Shijie, et al.
Publicado: (2025)

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
por: Hu, Zheng, et al.
Publicado: (2024)

The Application of Large Language Models in Recommendation Systems
por: Yu, Peiyang, et al.
Publicado: (2025)

Collaborative Large Language Model for Recommender Systems
por: Zhu, Yaochen, et al.
Publicado: (2023)

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models
por: Wu, Jiongran, et al.
Publicado: (2025)

Representation Learning with Large Language Models for Recommendation
por: Ren, Xubin, et al.
Publicado: (2023)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
por: Li, Yuhan, et al.
Publicado: (2025)

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

A Prompting-Based Representation Learning Method for Recommendation with Large Language Models
por: Chen, Junyi, et al.
Publicado: (2024)

Enhancing Spectral Knowledge Interrogation: A Reliable Retrieval-Augmented Generative Framework on Large Language Models
por: Liang, Jiheng, et al.
Publicado: (2024)

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
por: Wang, Jie, et al.
Publicado: (2024)