Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Mathew, Julia Ann, He, Suining |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
by: Wu, Junda, et al.
Published: (2024)
by: Wu, Junda, et al.
Published: (2024)
Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
by: Huang, Wei-Hsiang, et al.
Published: (2025)
by: Huang, Wei-Hsiang, et al.
Published: (2025)
Federated Recommendation via Hybrid Retrieval Augmented Generation
by: Zeng, Huimin, et al.
Published: (2024)
by: Zeng, Huimin, et al.
Published: (2024)
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)
by: Cui, Ziqiang, et al.
Published: (2025)
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
by: Chen, Weijie, et al.
Published: (2024)
by: Chen, Weijie, et al.
Published: (2024)
Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning
by: Zhang, Haichao, et al.
Published: (2025)
by: Zhang, Haichao, et al.
Published: (2025)
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
by: Cai, Rui, et al.
Published: (2025)
by: Cai, Rui, et al.
Published: (2025)
MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations
by: Mehta, Sushant
Published: (2026)
by: Mehta, Sushant
Published: (2026)
A Survey on Retrieval-Augmented Text Generation for Large Language Models
by: Huang, Yizheng, et al.
Published: (2024)
by: Huang, Yizheng, et al.
Published: (2024)
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
Enhancing ID-based Recommendation with Large Language Models
by: Chen, Lei, et al.
Published: (2024)
by: Chen, Lei, et al.
Published: (2024)
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
by: Zhang, Qinggang, et al.
Published: (2025)
by: Zhang, Qinggang, et al.
Published: (2025)
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
by: Ning, Liangbo, et al.
Published: (2025)
by: Ning, Liangbo, et al.
Published: (2025)
RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender
by: Granata, Francesco, et al.
Published: (2026)
by: Granata, Francesco, et al.
Published: (2026)
Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment
by: Medrano, Luigi, et al.
Published: (2026)
by: Medrano, Luigi, et al.
Published: (2026)
CCSK:Cognitive Convection of Self-Knowledge Based Retrieval Augmentation for Large Language Models
by: Lu, Jianling, et al.
Published: (2025)
by: Lu, Jianling, et al.
Published: (2025)
PathGPT: Reframing Path Recommendation as a Natural Language Generation Task with Retrieval-Augmented Language Models
by: Marcelyn, Steeve Cuthbert, et al.
Published: (2025)
by: Marcelyn, Steeve Cuthbert, et al.
Published: (2025)
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
by: Lin, Jianghao, et al.
Published: (2023)
by: Lin, Jianghao, et al.
Published: (2023)
MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender System
by: Cho, Seung Hwan, et al.
Published: (2025)
by: Cho, Seung Hwan, et al.
Published: (2025)
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)
by: Liang, Xun, et al.
Published: (2025)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
A Survey on Large Language Models for Recommendation
by: Wu, Likang, et al.
Published: (2023)
by: Wu, Likang, et al.
Published: (2023)
Unifying Generative and Dense Retrieval for Sequential Recommendation
by: Yang, Liu, et al.
Published: (2024)
by: Yang, Liu, et al.
Published: (2024)
Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults
by: Abedi, Ali, et al.
Published: (2026)
by: Abedi, Ali, et al.
Published: (2026)
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
by: Shan, Rong, et al.
Published: (2024)
by: Shan, Rong, et al.
Published: (2024)
Chatbot-Based Ontology Interaction Using Large Language Models and Domain-Specific Standards
by: Reif, Jonathan, et al.
Published: (2024)
by: Reif, Jonathan, et al.
Published: (2024)
TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios
by: Liang, Zida, et al.
Published: (2025)
by: Liang, Zida, et al.
Published: (2025)
A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model
by: Xiang, Ao, et al.
Published: (2024)
by: Xiang, Ao, et al.
Published: (2024)
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
by: Chen, Junze, et al.
Published: (2025)
by: Chen, Junze, et al.
Published: (2025)
Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models
by: Gao, Linfeng, et al.
Published: (2025)
by: Gao, Linfeng, et al.
Published: (2025)
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding
by: Wu, Mingrui, et al.
Published: (2024)
by: Wu, Mingrui, et al.
Published: (2024)
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation
by: He, Yingzhi, et al.
Published: (2025)
by: He, Yingzhi, et al.
Published: (2025)
GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models
by: Yang, Zhen, et al.
Published: (2025)
by: Yang, Zhen, et al.
Published: (2025)
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
by: Su, Jiajie, et al.
Published: (2025)
by: Su, Jiajie, et al.
Published: (2025)
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)
by: Huang, Xu, et al.
Published: (2023)
On-Device Large Language Models for Sequential Recommendation
by: Xia, Xin, et al.
Published: (2026)
by: Xia, Xin, et al.
Published: (2026)
Representation Learning with Large Language Models for Recommendation
by: Ren, Xubin, et al.
Published: (2023)
by: Ren, Xubin, et al.
Published: (2023)
ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation
by: Wang, Shu, et al.
Published: (2025)
by: Wang, Shu, et al.
Published: (2025)
ERA: Evidence-based Reliability Alignment for Honest Retrieval-Augmented Generation
by: Shin, Sunguk, et al.
Published: (2026)
by: Shin, Sunguk, et al.
Published: (2026)
Similar Items
-
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
by: Wu, Junda, et al.
Published: (2024) -
Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
by: Huang, Wei-Hsiang, et al.
Published: (2025) -
Federated Recommendation via Hybrid Retrieval Augmented Generation
by: Zeng, Huimin, et al.
Published: (2024) -
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025) -
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
by: Chen, Weijie, et al.
Published: (2024)