Results 51 to 60 of about 30,535 (208)

Anticipating Information Needs Based on Check-in Activity

, 2017
In this work we address the development of a smart personal assistant that is capable of anticipating a user's information needs based on a novel type of context: the person's activity inferred from her check-in records on a location-based social network.
Kiseleva J., Shokouhi M., Yang D., Yilmaz E., Zhang D.   +4 more
core   +1 more source

AST-PG: Attention-Based Spatial–Temporal Point-of-Interest-Group Model for Real-Time Point-of-Interest Recommendation

Applied Sciences
Research on next-point-of-interest (POI) recommendation has become a new focus in the field of POI recommendation in recent years. The goal of POI recommendation tasks is to predict a user’s future movement trajectory based on their current state and ...
Huarui Yu, Zesheng Cheng
doaj   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation

IEEE Access, 2019
Point of interest (POI) recommendation is a significant task in location-based social networks (LBSNs) as it can help to suggest new locations and makes LBSNs more prevalent to users. Successive POI recommendation is a nature extension of the general POI
Yan Wen, Jiansong Zhang, Qingtian Zeng, Xin Chen, Feng Zhang   +4 more
doaj   +1 more source

Context-Specific Point-of-Interest Recommendation Based on Popularity-Weighted Random Sampling and Factorization Machine

ISPRS International Journal of Geo-Information, 2021
Point-Of-Interest (POI) recommendation not only assists users to find their preferred places, but also helps businesses to attract potential customers. Recent studies have proposed many approaches to the POI recommendation.
Dongjin Yu, Yi Shen, Kaihui Xu, Yihang Xu   +3 more
doaj   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Exploring Spatial and Mobility Pattern’s Effects for Collaborative Point-of-Interest Recommendation

IEEE Access, 2019
In recent years, researches on the mining of user check-in behaviors for point-of-interest(POI) recommendations has attracted a lot of attention. Personalized POI recommendation is a significant task in location-based social networks(LBSNs) because it ...
Xu Jiao, Yingyuan Xiao, Wenguang Zheng, Lei Xu, Hui Wu   +4 more
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, Lalita Theerarojanapong, Natthawadee Laokulrath, Vuthinun Achariyapota, Khemanat Khemworapong, Sompop Kuljarasnont, Pornporm Ittiamornlert, Vitcha Poonyakanok, Perapong Inthasorn   +8 more
wiley   +1 more source

Relation Embedding for Personalised POI Recommendation

, 2020
Point-of-Interest (POI) recommendation is one of the most important location-based services helping people discover interesting venues or services. However, the extreme user-POI matrix sparsity and the varying spatio-temporal context pose challenges for POI systems, which affects the quality of POI recommendations. To this end, we propose a translation-
Wang, Xianjing, Salim, Flora D., Ren, Yongli, Koniusz, Piotr   +3 more
openaire   +2 more sources

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, Salomón Páez‐García, Santiago Martínez, Jacobo Ramírez‐Triana, Kevin O'Hara‐Veintimilla, Andrés Ricaurte‐Fajardo, Catalina Cerquera‐Cleves   +6 more
wiley   +1 more source