Results 81 to 90 of about 1,026 (182)

Entropy-oriented Multi-view Representation Fusion with Wavelet Graph Diffusion for Next POI Recommendation

Journal of Applied Science and Engineering
Next point-of-interest (POI) recommendation is a critical task in location-based social networks, offering significant value for personalized services and smart city governance. However, existing methods still struggle with the extreme scale of candidate
Rong Wang, Yingcun Wang, Jinfeng Wang, Jiajia Ma   +3 more
doaj   +1 more source

Multi-Slot Memory With Dynamic Gating: A Multi-Task Framework for Interpretable Sequential Recommendation in Niche POI Scenarios

IEEE Access
Sequential point-of-interest (POI) recommendation in niche cultural-tourism settings must capture users’ parallel interests and rapid intent shifts. This study proposes a transparent multi-task framework that combines a multi-slot user memory with
Zhaoqi Ma, Jiansong Tang, Ryosuke Saga
doaj   +1 more source

CaST-POI: Candidate-Conditioned Spatiotemporal Modeling for Next POI Recommendation

<div> Next Point-of-Interest (POI) recommendation plays a crucial role in location-based services by predicting users' future mobility patterns. Existing methods typically compute a single user representation from historical trajectories and use it to score all candidate POIs uniformly.
Zhenyu Yu, Chunlei Meng, Yangchen Zeng, Mohd Yamani Idna Idris, Shuigeng Zhou   +4 more
openaire   +2 more sources

Spatio-temporal intention learning for recommendation of next point-of-interest

Geo-spatial Information Science
Next point-of-interest (POI) recommendation has been applied by many internet companies to enhance the user travel experience. Recent research advocates deep-learning methods to model long-term check-in sequences and mine mobility patterns of people to ...
Hao Li, Peng Yue, Shangcheng Li, Chenxiao Zhang, Can Yang   +4 more
doaj   +1 more source

MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation

LLM-based Multi-Agent Systems have potential benefits of complex decision-making tasks management across various domains but their applications in the next Point-of-Interest (POI) recommendation remain underexplored. This paper proposes a novel MAS4POI system designed to enhance next POI recommendations through multi-agent interactions.
Yuqian Wu, Yuhong Peng, Jiapeng Yu, Raymond S. T. Lee   +3 more
openaire   +2 more sources

SEAGET: Seasonal and active hours guided graph enhanced transformer for the next POI recommendation

Array
One of the most important challenges for improving personalized services in industries like tourism is predicting users’ near-future movements based on prior behavior and current circumstances. Next POI (Point of Interest) recommendation is essential for
Alif Al Hasan, Md. Musfique Anwar
doaj   +1 more source

Hierarchical Graph Learning with Cross-Layer Information Propagation for Next Point of Interest Recommendation

Applied Sciences
With the vast quantity of GPS data that have been collected from location-based social networks, Point-of-Interest (POI) recommendation aims to predict users’ next locations by learning from their historical check-in trajectories.
Qiuhan Han, Atsushi Yoshikawa, Masayuki Yamamura   +2 more
doaj   +1 more source

TOOL4POI: A Tool-Augmented LLM Framework for Next POI Recommendation

CoRR
A critical technical error was discovered during our internal review, leading to unreliable experimental results. The issue cannot be resolved, and the paper has also been formally withdrawn from AAAI 2026.
Wang, Dongsheng, Gao, Shen, Huang, Chengrui, Huang, Yuxi, Feng, Ruixiang, Shang, Shuo   +5 more
openaire   +3 more sources

RALLM-POI: Retrieval-Augmented LLM for Zero-Shot Next POI Recommendation with Geographical Reranking

Next point-of-interest (POI) recommendation predicts a user's next destination from historical movements. Traditional models require intensive training, while LLMs offer flexible and generalizable zero-shot solutions but often generate generic or geographically irrelevant results due to missing trajectory and spatial context.
Kunrong Li, Kwan Hui Lim 0001
openaire   +2 more sources

Performance of exome sequencing in premature ovarian insufficiency: a systematic review and meta-analysis. [PDF]

BMC Pregnancy Childbirth
Zhou F, Zhang J, Li Y, Liu S, Wang X.
europepmc   +1 more source