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Context-Aware Point-of-Interest Recommendation Based on Similar User Clustering and Tensor Factorization

ISPRS International Journal of Geo-Information, 2023
The rapid development of big data technology and mobile intelligent devices has led to the development of location-based social networks (LBSNs). To understand users’ behavioral patterns and improve the accuracy of location-based services, point-of ...
Yan Zhou, Kaixuan Zhou, Shuaixian Chen
doaj +1 more source

Joint Triplet Loss Learning for Next New POI Recommendation

CoRR, 2022
Sparsity of the User-POI matrix is a well established problem for next POI recommendation, which hinders effective learning of user preferences. Focusing on a more granular extension of the problem, we propose a Joint Triplet Loss Learning (JTLL) module for the Next New ($N^2$) POI recommendation task, which is more challenging.
Nicholas Lim +3 more
openaire +2 more sources

Better 10‐Year Cerebrovascular Outcome After Transplant Than on Standard‐Care in Sickle Cell Anemia: DREPAGREFFE Trial

American Journal of Hematology, EarlyView.
ABSTRACT Management of cerebral vasculopathy in sickle cell anemia (SCA) includes standard‐care, that is, chronic transfusion (CT) or hydroxyurea, and hematopoietic cell transplantation (HCT). DREPAGREFFE‐1 (December 2010/June 2013), a French multicenter trial, was the first prospective trial comparing standard‐care to match sibling donor (MSD)‐HCT in ...
Francoise Bernaudin +40 more
wiley +1 more source

Environmental Thermoeconomic Performance Analysis of Gas Steam Combined Cycle With Different Inlet Air Cooling Technologies

Energy Science &Engineering, EarlyView.
This study establishes an environmental thermoeconomic cost model to investigate the impact of two IAC technologies on the performance of a GSCC from three aspects of energy, economy, and environment. Under arid climate conditions, the SEC technology demonstrates superior performance in terms of cost‐effectiveness and environmental impact.
Zhen Wang, Li Zhang, Yu Ni, Liqiang Duan
wiley +1 more source

Language-Guided Spatio-Temporal Context Learning for Next POI Recommendation

ISPRS International Journal of Geo-Information
With the proliferation of mobile internet and location-based services, location-based social networks (LBSNs) have accumulated extensive user check-in data, driving the advancement of next Point-of-Interest (POI) recommendation systems. Although existing
Chunyang Liu, Chuxiao Fu
doaj +1 more source

Yield of endocervical curettage in detecting cervical intraepithelial neoplasia grade 2 or higher during colposcopy: A prospective, cross‐sectional study

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 105-111, April 2025.
Abstract Objective This study assessed the prevalence and factors associated with detecting cervical intraepithelial neoplasia grade 2 or higher (CIN2+) via endocervical curettage (ECC) during colposcopy. Methods Between December 2020 and September 2023, a prospective, cross‐sectional study involving women with abnormal cervical cancer screening ...
Nida Jareemit +8 more
wiley +1 more source

Generative Next POI Recommendation with Semantic ID

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Point-of-interest (POI) recommendation systems aim to predict the next destinations of user based on their preferences and historical check-ins. Existing generative POI recommendation methods usually employ random numeric IDs for POIs, limiting the ability to model semantic relationships between similar locations.
Dongsheng Wang +5 more
openaire +2 more sources

Young bodies, aging ovaries: A systematic review and meta‐synthesis of women's perspectives on spontaneous premature ovarian insufficiency

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objectives Spontaneous premature ovarian insufficiency (POI) is a condition characterized by the cessation of ovarian function before age 40, unrelated to medical interventions. It affects approximately 3.5% of women worldwide and can result in significant emotional, physical, and social consequences.
Maria Patricia Roman +2 more
wiley +1 more source

Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network

IEEE Access, 2019
With the rapid development of location-based social networks (LBSNs), point of interest (POI) recommendation has become more and more popular personalized service.
Kang Yang, Jinghua Zhu
doaj +1 more source

FXTAS and the Spectrum of FMR1 Premutation‐Associated Phenotypes in Latin America: A Scoping Review

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Fragile X–associated tremor/ataxia syndrome (FXTAS) is a late‐onset neurodegenerative disorder caused by FMR1 premutation expansions (55–200 CGG repeats). Although well described in populations of predominantly European ancestry, FXTAS remains poorly characterized in Latin America due to limited awareness, restricted access to ...
Amy Schmidmajer +6 more
wiley +1 more source

poi recommendation
contrastive learning
transformer

location-based social networks
deep learning
location-based social network

self-attention
graph neural network
graph neural networks