Results 81 to 90 of about 30,535 (208)
The rapid development of location-based social networks (LBSNs) produces the increasing number of check-in records and corresponding heterogeneous information which bring big challenges of points-of-interest (POIs) recommendation in our daily lives.
Bin Xia +4 more
doaj +1 more source
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly +3 more
wiley +1 more source
In this paper, we present a state of the art on applications of mobile devices to support decision of a tourist running on a trip. We focus on two types of applications, tourism recommendation and tourism guide, making a brief description of the main ...
Anacleto, Ricardo +2 more
core
The Surprising Bias of PPML Estimates of Structural Gravity Models With Two‐Way Fixed Effects
ABSTRACT The previous literature has shown that the Poisson Pseudo‐Maximum Likelihood (PPML) estimator provides consistent and asymptotically unbiased estimates of the parameters of structural gravity models with two‐way fixed effects, although their standard errors need correction.
Ben Shepherd, Tom Zylkin
wiley +1 more source
Carotid artery dissection linked to intermittent apnoeic swimming: A case–control study
Abstract Internal carotid artery (ICA) dissection is a rare and potentially devastating cause of cerebral ischaemia, initiated by an intimal tear or rupture of the vasa vasorum, that can lead to an intraluminal thrombus, vascular stenosis, occlusion, or dissecting aneurysm formation.
Damian M. Bailey +14 more
wiley +1 more source
Point-of-interest Recommendation Based on Geospatial-TemporalCorrelations and Social Influence [PDF]
With the popularity of location-based social networks,personalized POI recommendation has become an important task.However,existing research inadequately considers the intrinsic relationships when modeling and integrating contextual information.Among ...
JIN Hong, CHEN Like, YOU Lan, LYU Shunying, ZHOU Kaicheng, XIAO Kui
doaj +1 more source
Social media algorithms drive a hidden risk chain: over‐disclosure → behavioral fusion → targeted attacks. We propose a 128‐dim, law‐aware risk scoring model with Drools‐based dynamic alerts for universities. ABSTRACT As universities undergo accelerated digital transformation, social media algorithms—while streamlining campus services—have emerged as a
Weishu Ye, Zhi Li
wiley +1 more source
POI recommendation with queuing time and user interest awareness. [PDF]
Halder S, Lim KH, Chan J, Zhang X.
europepmc +1 more source
Abstract This study critically analyses the main narratives surrounding the Atlantic blue crab (Callinectes sapidus) in the Lagoon of Venice. We used a mixed‐method approach, performing a qualitative discourse analysis on a sample of 68 textual sources to identify the narratives across two sectors in the management of the case study: media and politics,
Elisa Zanoni +3 more
wiley +1 more source
Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation. [PDF]
Huang S, Wu X, Wu X, Wang K.
europepmc +1 more source

