Cover Image

A Prompting-Based Representation Learning Method for Recommendation with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Junyi, Suzumura, Toyotaro
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling User Preferences as Distributions for Optimal Transport-Based Cross-Domain Recommendation under Non-Overlapping Settings
by: Xiao, Ziyin, et al.
Published: (2025)

NewsReX: A More Efficient Approach to News Recommendation with Keras 3 and JAX
by: Azevedo, Igor L. R., et al.
Published: (2025)

SymCERE: Symmetric Contrastive Learning for Robust Review-Enhanced Recommendation
by: Suzumura, Toyotaro, et al.
Published: (2025)

A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System
by: Azevedo, Igor L. R., et al.
Published: (2024)

Multimodal Point-of-Interest Recommendation
by: Kanzawa, Yuta, et al.
Published: (2024)

Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual
by: Azevedo, Igor L. R., et al.
Published: (2024)

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

Reinforced Prompt Personalization for Recommendation with Large Language Models
by: Mao, Wenyu, et al.
Published: (2024)

Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)

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

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models
by: Liu, Dairui, et al.
Published: (2023)

HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
by: Chen, Junyi, et al.
Published: (2024)

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

Matryoshka Representation Learning for Recommendation
by: Lai, Riwei, et al.
Published: (2024)

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation
by: Guo, Lei, et al.
Published: (2024)

Prompt-based Multi-interest Learning Method for Sequential Recommendation
by: Dong, Xue, et al.
Published: (2024)

LFG: A Generative Network for Real-Time Recommendation
by: Liu, Junyi
Published: (2023)

Multilingual Prompts in LLM-Based Recommenders: Performance Across Languages
by: Ozsoy, Makbule Gulcin
Published: (2024)

PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
by: Zhuang, Shengyao, et al.
Published: (2024)

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

NoteLLM-2: Multimodal Large Representation Models for Recommendation
by: Zhang, Chao, et al.
Published: (2024)

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems
by: Kusano, Genki, et al.
Published: (2024)

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

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

PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems
by: Yang, Mingdai, et al.
Published: (2025)

Harnessing Large Language Models for Group POI Recommendations
by: Long, Jing, et al.
Published: (2024)

Knowledge-Augmented Relation Learning for Complementary Recommendation with Large Language Models
by: Yamasaki, Chihiro, et al.
Published: (2025)

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
by: Zheng, Bowen, et al.
Published: (2023)

Causality-Inspired Fair Representation Learning for Multimodal Recommendation
by: Chen, Weixin, et al.
Published: (2023)

NoteLLM: A Retrievable Large Language Model for Note Recommendation
by: Zhang, Chao, et al.
Published: (2024)

Item Level Exploration Traffic Allocation in Large-scale Recommendation Systems
by: Wang, Dong, et al.
Published: (2025)

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

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

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

Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce
by: Xu, Wei, et al.
Published: (2024)

Towards Comprehensible Recommendation with Large Language Model Fine-tuning
by: Luo, Yunze, et al.
Published: (2025)

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

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

LLM-Rec: Personalized Recommendation via Prompting Large Language Models
by: Lyu, Hanjia, et al.
Published: (2023)

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