Results 91 to 100 of about 2,209 (219)
Adaptive Graph Representation Learning for Next POI Recommendation
, 2023 Next Point-of-Interest (POI) recommendation is an essential part of the flourishing location-based applications, where the demands of users are not only conditioned by their recent check-in behaviors but also by the critical influence stemming from ...
Li, Bo +5 more
core +1 more source
In Vitro Fertilization is Essential Healthcare for Patients With Rheumatic Disease
ACR Open Rheumatology, Volume 8, Issue 7, July 2026.Infertility presents a profound physical, emotional, and financial burden, particularly for rheumatology patients who often face substantial barriers to family building. The 2024 Alabama Supreme Court ruling in LePage v. Center for Reproductive Medicine equating embryo destruction with wrongful death introduced new legal uncertainties, sparking ...
Amanda Moyer +4 more
wiley +1 more source
Location Regularization-Based POI Recommendation in Location-Based Social Networks
, 2018 POI (point-of-interest) recommendation as one of the efficient information filtering techniques has been widely utilized in helping people find places they are likely to visit, and many related methods have been proposed.
Xinhua Wang, Haoran Jiang, Lei Guo
core +1 more source
GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling
, 2023 Nowadays, with the rise of location-based services, the personalized sequential POI recommendation has become a pivotal element for enhancing customer experiences.
Tian, H, Shen, H, Wang, T, Wang, C
core +1 more source
Journal of Forecasting, Volume 45, Issue 4, Page 1529-1558, July 2026.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 +1 more
wiley +1 more source
Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation. [PDF]
Soc Netw Anal Min, 2023 Huang S, Wu X, Wu X, Wang K.
europepmc +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
Journal of Forecasting, Volume 45, Issue 4, Page 1985-2000, July 2026.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 +3 more
wiley +1 more source
RecPOID: POI Recommendation with Friendship Aware and Deep CNN
, 2021 In location-based social networks (LBSNs), exploit several key features of points-of-interest (POIs) and users on precise POI recommendation be significant. In this work, a novel POI recommendation pipeline based on the convolutional neural network named
Mehrdad Jalali, Sadaf Safavi
core +1 more source
Clinical Challenges in Transition to Adult Care for Young People With Endocrinopathies
Clinical Endocrinology, Volume 105, Issue 1, Page 14-21, July 2026.ABSTRACT The complexity of transition of pediatric patients to adult care is well recognized, with a multidisciplinary approach widely agreed to be essential. Despite extensive existing literature in this area, practical guidance as to the management of specific medical aspects and how to address these with patients and families is lacking, with little
Margaret Zacharin, Quynh‐Nhu Nguyen
wiley +1 more source
Context-aware attention-based data augmentation for POI recommendation
, 2019 With the rapid growth of location-based social networks (LBSNs), Point-Of-Interest (POI) recommendation has been broadly studied in this decade. Recently, the next POI recommendation, a natural extension of POI recommendation, has attracted much ...
Yadan Luo +9 more
core +1 more source