Cover Image

Efficient Model-Agnostic Continual Learning for Next POI Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Chenhao, Feng, Shanshan, Chen, Lisi, Li, Fan, Shang, Shuo
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TOOL4POI: A Tool-Augmented LLM Framework for Next POI Recommendation
by: Wang, Dongsheng, et al.
Published: (2025)

Generative Next POI Recommendation with Semantic ID
by: Wang, Dongsheng, et al.
Published: (2025)

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
by: Feng, Shanshan, et al.
Published: (2024)

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
by: Long, Jing, et al.
Published: (2024)

CaST-POI: Candidate-Conditioned Spatiotemporal Modeling for Next POI Recommendation
by: Yu, Zhenyu, et al.
Published: (2026)

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

Context-Adaptive Graph Neural Networks for Next POI Recommendation
by: Lei, Yu, et al.
Published: (2025)

RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
by: Li, Kunrong, et al.
Published: (2025)

DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level
by: Gao, Shen, et al.
Published: (2024)

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
by: Sun, Zhu, et al.
Published: (2022)

Knowledge Graph Tokenization for Behavior-Aware Generative Next POI Recommendation
by: Sun, Ke, et al.
Published: (2025)

MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation
by: Wu, Yuqian, et al.
Published: (2024)

HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation
by: Wang, Jinze, et al.
Published: (2025)

TransTARec: Time-Adaptive Translating Embedding Model for Next POI Recommendation
by: Sun, Yiping
Published: (2024)

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

GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems
by: Wongso, Wilson, et al.
Published: (2024)

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation
by: Wu, Ziqing, et al.
Published: (2024)

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
by: Zheng, Ruiqi, et al.
Published: (2024)

ADS-POI: Agentic Spatiotemporal State Decomposition for Next Point-of-Interest Recommendation
by: Yu, Zhenyu, et al.
Published: (2026)

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
by: Huang, Tianhao, et al.
Published: (2024)

Next Point-of-interest (POI) Recommendation Model Based on Multi-modal Spatio-temporal Context Feature Embedding
by: Zhang, Lingyu, et al.
Published: (2025)

DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation
by: Zheng, Ruiqi, et al.
Published: (2024)

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module
by: Li, Pei-Xuan, et al.
Published: (2025)

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
by: Xu, Jinfeng, et al.
Published: (2025)

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
by: Long, Jing, et al.
Published: (2024)

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2025)

GeoGR: A Generative Retrieval Framework for Spatio-Temporal Aware POI Recommendation
by: Wang, Fangye, et al.
Published: (2026)

Redefining POI Popularity: Integrating User Preferences and Recency for Enhanced Recommendations
by: Hasan, Alif Al, et al.
Published: (2024)

Continuous-time Discrete-space Diffusion Model for Recommendation
by: Liu, Chengyi, et al.
Published: (2025)

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2026)

Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations
by: Forster, Andrea, et al.
Published: (2025)

CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework
by: Cruz, Francis Zac dela, et al.
Published: (2024)

Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)

Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation
by: Lin, Haitao, et al.
Published: (2025)

Region-Point Joint Representation for Effective Trajectory Similarity Learning
by: Long, Hao, et al.
Published: (2025)

Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data
by: Jiang, Nan, et al.
Published: (2024)

HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps
by: Huang, Jizhou, et al.
Published: (2024)

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
by: Tang, Zuoli, et al.
Published: (2023)

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

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
by: Meng, Chang, et al.
Published: (2024)