Large Language Models for Next Point-of-Interest Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Peibo, de Rijke, Maarten, Xue, Hao, Ao, Shuang, Song, Yang, Salim, Flora D. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2025)
by: Li, Peibo, et al.
Published: (2025)
Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
Explaining the (Not So) Obvious: Simple and Fast Explanation of STAN, a Next Point of Interest Recommendation System
by: Yunus, Fajrian, et al.
Published: (2024)
by: Yunus, Fajrian, et al.
Published: (2024)
Long Context Modeling with Ranked Memory-Augmented Retrieval
by: Alselwi, Ghadir, et al.
Published: (2025)
by: Alselwi, Ghadir, et al.
Published: (2025)
ADS-POI: Agentic Spatiotemporal State Decomposition for Next Point-of-Interest Recommendation
by: Yu, Zhenyu, et al.
Published: (2026)
by: Yu, Zhenyu, et al.
Published: (2026)
Point of Interest Recommendation: Pitfalls and Viable Solutions
by: Bellogín, Alejandro, et al.
Published: (2025)
by: Bellogín, Alejandro, et al.
Published: (2025)
GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems
by: Wongso, Wilson, et al.
Published: (2024)
by: Wongso, Wilson, et al.
Published: (2024)
Geography-Aware Large Language Models for Next POI Recommendation
by: Liu, Zhao, et al.
Published: (2025)
by: Liu, Zhao, et al.
Published: (2025)
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
by: Zhang, Qianru, et al.
Published: (2024)
by: Zhang, Qianru, et al.
Published: (2024)
Ranked List Truncation for Large Language Model-based Re-Ranking
by: Meng, Chuan, et al.
Published: (2024)
by: Meng, Chuan, et al.
Published: (2024)
Query Performance Prediction using Relevance Judgments Generated by Large Language Models
by: Meng, Chuan, et al.
Published: (2024)
by: Meng, Chuan, et al.
Published: (2024)
Orcheo: A Modular Full-Stack Platform for Conversational Search
by: Jiang, Shaojie, et al.
Published: (2026)
by: Jiang, Shaojie, et al.
Published: (2026)
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
by: Song, Tianrui, et al.
Published: (2024)
by: Song, Tianrui, et al.
Published: (2024)
User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation
by: Du, Jing, et al.
Published: (2026)
by: Du, Jing, et al.
Published: (2026)
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)
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
by: Nguyen, Huy-Son, et al.
Published: (2025)
by: Nguyen, Huy-Son, et al.
Published: (2025)
Large Language Model Distilling Medication Recommendation Model
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation
by: Hu, Zhaoyu, et al.
Published: (2025)
by: Hu, Zhaoyu, et al.
Published: (2025)
GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation
by: Wu, Zhibo, et al.
Published: (2025)
by: Wu, Zhibo, et al.
Published: (2025)
LLMs for User Interest Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset
by: Hager, Philipp, et al.
Published: (2024)
by: Hager, Philipp, et al.
Published: (2024)
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
by: Yang, Weiqin, et al.
Published: (2026)
by: Yang, Weiqin, et al.
Published: (2026)
MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation
by: Wu, Ziqing, et al.
Published: (2024)
by: Wu, Ziqing, et al.
Published: (2024)
Towards Empathetic Conversational Recommender Systems
by: Zhang, Xiaoyu, et al.
Published: (2024)
by: Zhang, Xiaoyu, et al.
Published: (2024)
Large Language Models as Recommender Systems: A Study of Popularity Bias
by: Lichtenberg, Jan Malte, et al.
Published: (2024)
by: Lichtenberg, Jan Malte, et al.
Published: (2024)
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space
by: Balcer, Klaudia, et al.
Published: (2025)
by: Balcer, Klaudia, et al.
Published: (2025)
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
by: Song, Tianrui, et al.
Published: (2025)
by: Song, Tianrui, et al.
Published: (2025)
Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)
by: Nabiev, Timur, et al.
Published: (2026)
Uncertainty-Aware Explainable Recommendation with Large Language Models
by: Peng, Yicui, et al.
Published: (2024)
by: Peng, Yicui, et al.
Published: (2024)
CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
by: Sun, Yi, et al.
Published: (2024)
by: Sun, Yi, et al.
Published: (2024)
Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023)
by: Luo, Yucong, et al.
Published: (2023)
Disentangled Interest Network for Out-of-Distribution CTR Prediction
by: Zheng, Yu, et al.
Published: (2025)
by: Zheng, Yu, et al.
Published: (2025)
SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval
by: Petcu, Roxana, et al.
Published: (2026)
by: Petcu, Roxana, et al.
Published: (2026)
STAR: A Simple Training-free Approach for Recommendations using Large Language Models
by: Lee, Dong-Ho, et al.
Published: (2024)
by: Lee, Dong-Ho, 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)
An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders
by: Feng, Shuang, et al.
Published: (2024)
by: Feng, Shuang, et al.
Published: (2024)
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning
by: Yang, Ruiyi, et al.
Published: (2025)
by: Yang, Ruiyi, et al.
Published: (2025)
Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
by: Shi, Zhan, et al.
Published: (2025)
by: Shi, Zhan, et al.
Published: (2025)
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
by: Huang, Tianhao, et al.
Published: (2024)
by: Huang, Tianhao, et al.
Published: (2024)
Large Language Models are Learnable Planners for Long-Term Recommendation
by: Shi, Wentao, et al.
Published: (2024)
by: Shi, Wentao, et al.
Published: (2024)
Similar Items
-
Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2025) -
Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024) -
Explaining the (Not So) Obvious: Simple and Fast Explanation of STAN, a Next Point of Interest Recommendation System
by: Yunus, Fajrian, et al.
Published: (2024) -
Long Context Modeling with Ranked Memory-Augmented Retrieval
by: Alselwi, Ghadir, et al.
Published: (2025) -
ADS-POI: Agentic Spatiotemporal State Decomposition for Next Point-of-Interest Recommendation
by: Yu, Zhenyu, et al.
Published: (2026)