Results 81 to 90 of about 1,557 (194)

Practical and privacy-preserving geo-social-based POI recommendation

Journal of Information and Intelligence
With the rapid development of location-based services and online social networks, POI recommendation services considering geographic and social factors have received extensive attention. Meanwhile, the vigorous development of cloud computing has prompted
Qi Xu, Hui Zhu, Yandong Zheng, Fengwei Wang, Le Gao   +4 more
doaj   +1 more source

Association and Interaction of Neighborhood Environment and Social Factors With Blood Glucose Among Adult Residents: A Cross‐Sectional Study

Health Science Reports, Volume 9, Issue 8, August 2026.
ABSTRACT Background and Aims High fasting blood glucose (FBG) ranks fifth among the global risk factors for disease burden, influenced by both individual and environmental factors. However, the roles of social and neighborhood environmental factors remain underexplored in China.
Xiao Ji Zhang, Yunyan Xianyu, Tianyu He, Guiqin Zhang, Jiatong Cui, Yu Xin Cheng, Yu Jia Liu, Jie Chen, Qian Liu, Dan Luo, Xiao Qin Wang, Bing Xiang Yang, Huijing Zou   +12 more
wiley   +1 more source

PERS: A Personalized and Explainable POI Recommender System

CoRR, 2017
The Location-Based Social Networks (LBSN) (e.g., Facebook) have many factors (for instance, ratings, check-in time, etc.) that play a crucial role for the Point-of-Interest (POI) recommendations. Unlike ratings, the reviews can help users to elaborate their opinion and share the extent of consumption experience in terms of the relevant factors of ...
Ramesh Baral, Tao Li 0001
openaire   +2 more sources

Rebalancing Software Defect Datasets via Mutation: Performance Insights From Prediction Models Based on Software Measures

Software Testing, Verification and Reliability, Volume 36, Issue 5, August 2026.
A mutation‐based approach (MBA) to rebalance defect datasets improves recall, particularly in cross‐project prediction, but increases false alarms and does not consistently enhance MCC or AUC. These findings highlight both the potential and limitations of mutation‐based rebalancing in software defect prediction.
Dinçer Güner, Görkem Giray, Onur Demirörs   +2 more
wiley   +1 more source

Recommending POIs Based on the User’s Context and Intentions [PDF]

, 2013
This paper describes a Recommender System that implements a Multiagent System for making personalised context and intention-aware recommendations of Points of Interest (POIs). A two-parted agent architecture was used, with an agent responsible for gathering POIs from a location-based service, and a set of Personal Assistant Agents (PAAs) collecting ...
Hernani Pereira Costa, Bárbara Furtado, Durval Pires, Luís Macedo, Amílcar Cardoso   +4 more
openaire   +1 more source

Reproductive outcomes in women with Hodgkin's lymphoma in a Danish fertility preservation cohort

Acta Obstetricia et Gynecologica Scandinavica, Volume 105, Issue 8, Page 1587-1596, August 2026.
The risk of premature ovarian insufficiency increases with the intensity of alkylating chemotherapy. In general, fertility outcomes were favorable, but chances of live birth decreased with increased intensity of alkylating chemotherapy. Ovarian tissue transplantation enabled natural conception in women with premature ovarian insufficiency, supporting ...
Lotte Berdiin Colmorn, Elisabeth C. Larsen, Anette Tønnes Pedersen, Stine Gry Kristensen, Kirsten Tryde Macklon   +4 more
wiley   +1 more source

A HieArarchical LSTM Framework for Capturing Long- and Short-Term Preferences in POI Recommendation

ITEGAM-JETIA
Point-of-Interest (POI) recommendation is crucial for improving user experience in location-based social networks (LBSNs). With the growing number of users checking in at various places personalized recommendations are necessary to provide relevant ...
Sarala Patchala, Vijay Babu Burra, Vullam Naga Gopi Raju, Banda SNV Ramana Murthy, Desamala Prabhakara Rao   +4 more
doaj   +1 more source

Exploiting Spatial and Temporal for Point of Interest Recommendation

Complexity, 2018
An increasing number of users have been attracted by location-based social networks (LBSNs) in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the ...
Jinpeng Chen, Wen Zhang, Pei Zhang, Pinguang Ying, Kun Niu, Ming Zou   +5 more
doaj   +1 more source

Instrumentos que avaliam a mobilidade de crianças e adolescentes com transtorno do espectro autista: Uma revisão sistemática e mapa de decisão

Developmental Medicine &Child Neurology, Volume 68, Issue 8, Page e118-e132, August 2026.
Objetivos Identificar os instrumentos padronizados usados para avaliar aspectos de mobilidade em crianças e adolescentes com transtorno do espectro autista (TEA), analisar a qualidade de suas propriedades psicométricas e seu nível de evidência, e desenvolver um mapa de decisão clínica para esses instrumentos.
Arthur Felipe Barroso de Lima, Amanda Cristina Fernandes, Amanda Alves Rodrigues Soares, Hércules Ribeiro Leite, Ricardo Rodrigues de Sousa Junior   +4 more
wiley   +1 more source

A Paradigm of Temporal‐Weather‐Aware Transition Pattern for POI Recommendation

CAAI Transactions on Intelligence Technology
Point of interest (POI) recommendation analyses user preferences through historical check‐in data. However, existing POI recommendation methods often overlook the influence of weather information and face the challenge of sparse historical data for ...
Junyang Chen, Jingcai Guo, Huan Wang, Zhihui Lai, Qin Zhang, Kaishun Wu, Liang‐Jie Zhang   +6 more
doaj   +1 more source