Results 41 to 50 of about 975 (190)

Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation

IEEE Access
Next Point-of-Interest (POI) recommendation, a sub-task of POI recommendation, focuses on predicting the next POI a user will visit, relying on the user’s sequential check-in history.
Guoning Lv, Min Gao
doaj   +1 more source

Providing privacy preserving in next POI recommendation for Mobile edge computing

Journal of Cloud Computing: Advances, Systems and Applications, 2020
Point of interest (POI) recommendation can benefit users and merchants. It is a very important and popular service in modern life. In this paper, we aim to study the next new POI recommendation problem with the consideration of privacy preserving in edge
Li Kuang, Shenmei Tu, Yangqi Zhang, Xiaoxian Yang   +3 more
doaj   +1 more source

High‐Speed Rail and Spatial Equity: Unpacking the Sustainability Paradox of Land Use and Fiscal Pressure in County‐Level Cities

Sustainable Development, EarlyView.
ABSTRACT Infrastructure‐led development in rapidly urbanizing economies often generates accessibility gains that fail to translate into balanced urban outcomes, particularly when local fiscal institutions redirect those gains toward revenue‐generating land uses. Filling this gap, especially in fiscally constrained county‐level cities where land finance
Ming Xie, Xiaoxiao Liao, Zhenlin Xie
wiley   +1 more source

Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks

ISPRS International Journal of Geo-Information, 2019
Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations.
Mingxin Gan, Ling Gao
doaj   +1 more source

MST-RNN: A Multi-Dimension Spatiotemporal Recurrent Neural Networks for Recommending the Next Point of Interest

Mathematics, 2022
With the increasing popularity of location-aware Internet-of-Vehicle services, the next-Point-of-Interest (POI) recommendation has gained significant research interest, predicting where drivers will go next from their sequential movements.
Chunshan Li, Dongmei Li, Zhongya Zhang, Dianhui Chu   +3 more
doaj   +1 more source

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

Artificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley   +1 more source

Multi-View Contrastive Fusion POI Recommendation Based on Hypergraph Neural Network

Mathematics
In the era of information overload, location-based social software has gained widespread popularity, and the demand for personalized POI (Point of Interest) recommendation services is growing rapidly.
Luyao Hu, Guangpu Han, Shichang Liu, Yuqing Ren, Xu Wang, Ya Liu, Junhao Wen, Zhengyi Yang   +7 more
doaj   +1 more source

POI recommendation method using LSTM-attention in LBSN considering privacy protection

Complex & Intelligent Systems, 2021
Aiming at the problems of traditional point of interest (POI), such as sparse data, lack of negative feedback, and dynamic and periodic changes of user preferences, a POI recommendation method using deep learning in location-based social networks (LBSN ...
Kun Wang, Xiaofeng Wang, Xuan Lu
doaj   +1 more source

Risk of Cancer With Hormone Replacement Therapy: A Narrative Review

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Hormone replacement therapy (HRT) remains the cornerstone of menopausal symptom management, effectively alleviating vasomotor symptoms and genitourinary syndrome, whilst mitigating long‐term risks such as osteoporosis. However, despite an increasing body of evidence on the relative safety of HRT, earlier studies that demonstrated an increased ...
Gabriella Yongue, Zachary Nash, Vikram Talaulikar, Shibani Nicum   +3 more
wiley   +1 more source

Enhancing next POI recommendation via multi-graph modeling and multi-granularity contrastive learning

Journal of King Saud University: Computer and Information Sciences
Next Point-of-Interest (POI) recommendation is a core task in location-aware services and mobile applications, aiming to predict a user’s next likely location based on historical check-in behavior.
Yifan Wang, Qi Jiang
doaj   +1 more source