Results 61 to 70 of about 2,209 (219)

Graph-Based Metric Embedding for Next POI Recommendation

, 2016
With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-based social networks (LBSNs), point of interest (POI) recommendation has become an important means to help people discover attractive and interesting places. In
Xie, Min, Fanjiang Xu, Xu, Fanjiang, Yin, Hongzhi, Xiaofang Zhou, Hongzhi Yin, Hao Wang, Min Xie, Zhou, Jiaofang, Wang, Hao   +9 more
core   +1 more source

Spatio-Temporal Unequal Interval Correlation-Aware Self-Attention Network for Next POI Recommendation

ISPRS International Journal of Geo-Information, 2022
As the core of location-based social networks (LBSNs), the main task of next point-of-interest (POI) recommendation is to predict the next possible POI through the context information from users’ historical check-in trajectories.
Zheng Li, Xueyuan Huang, Chun Liu, Wei Yang   +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

Context Aware POI Recommendation using Bipartite Graph

, 2022
With the swift proliferation of handheld mobile devices, location based social networking (LBSNs) services have gained immense attention allowing users to discover their point of interest (POI).
Manmath, Davangave Balaji, Pervin, Nargis   +1 more
core  

Privacy-enhanced personalized POI recommendation with federated learning framework

Complex & Intelligent Systems
With the development of O2O e-commerce, POI recommendation services are increasingly important in integrating online and offline consumer scenarios.
Chunhua Ju, Zhaohui Wang, Chonghuan Xu, Fuguang Bao   +3 more
doaj   +1 more source

Multi-granularity contrastive learning model for next POI recommendation

Frontiers in Neurorobotics
Next Point-of-Interest (POI) recommendation aims to predict the next POI for users from their historical activities. Existing methods typically rely on location-level POI check-in trajectories to explore user sequential transition patterns, which suffer ...
Yunfeng Zhu, Shuchun Yao, Xun Sun
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

Crossroads of the Life of Vittorio Alfieri

Journal for Eighteenth-Century Studies, EarlyView.
Abstract This article examines Vittorio Alfieri's Life as a deliberately constructed narrative of cultural, linguistic, and political self‐fashioning within eighteenth‐century European intellectual networks. Rather than treating the autobiography as a transparent record of experience, the article argues that Alfieri retrospectively reorganizes his ...
Sara Gallegati
wiley   +1 more source

Where To Go at the Next Timestamp

Data Science and Engineering
The next Point of Interest (POI) recommendation is the core technology of smart city. Current state-of-the-art models attempt to improve the accuracy of the next POI recommendation by incorporating temporal and spatial intervals or by partitioning the ...
Jiaqi Duan, Xiangfu Meng, Guihong Liu
doaj   +1 more source

A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation

IEEE Access, 2018
Point-of-interest (POI) recommendation has attracted many interests recently because of its significant potential for helping users to explore new places and helping location-based service (LBS) providers to carry out precision marketing.
An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Qing Li, Xiaofang Zhou, Xiangliang Zhang   +6 more
doaj   +1 more source