Cover Image

Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Anand, Sarthak, Jiang, Yutong, Kokaia, Giorgi
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

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

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

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

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
by: Jia, Jian, et al.
Published: (2024)

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

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

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

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

Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation
by: Wang, Guanchen, et al.
Published: (2025)

Large Language Models as Narrative-Driven Recommenders
by: Eberhard, Lukas, et al.
Published: (2024)

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
by: Cai, Rui, 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)

Adaptive In-Context Learning with Large Language Models for Bundle Generation
by: Sun, Zhu, et al.
Published: (2023)

RecMind: Large Language Model Powered Agent For Recommendation
by: Wang, Yancheng, et al.
Published: (2023)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
by: Guan, Zhong, et al.
Published: (2024)

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks
by: Zhao, Yushang, et al.
Published: (2025)

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)

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

On-Device Large Language Models for Sequential Recommendation
by: Xia, Xin, et al.
Published: (2026)

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

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
by: Wang, Yuhao, et al.
Published: (2024)

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
by: Wan, Zhizhong, et al.
Published: (2024)

Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
by: Sun, Shengyin, et al.
Published: (2025)

Enhancing ID-based Recommendation with Large Language Models
by: Chen, Lei, et al.
Published: (2024)

Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023)

Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
by: Qiao, Shutong, et al.
Published: (2024)

Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law
by: Chen, Yongming, et al.
Published: (2024)

Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM
by: Yang, Yuxin, et al.
Published: (2025)

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

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
by: Lei, Yuxuan, et al.
Published: (2023)

Mitigating Propensity Bias of Large Language Models for Recommender Systems
by: Zhang, Guixian, et al.
Published: (2024)

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
by: Wang, Hangyu, et al.
Published: (2024)

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

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
by: Ye, Yuyang, et al.
Published: (2024)

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

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

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

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

How Good Are Large Language Models for Course Recommendation in MOOCs?
by: Ma, Boxuan, et al.
Published: (2025)

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)