Results 41 to 50 of about 255,061 (262)
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
Integrate Influence of Regions and Friends for Next POI Recommendation
With the increasing popularity of mobile devices, a large amount of user check-in point of interests (POIs) data have been accumulated. The information of user check-in makes the recommendation of the next POI become a hot issue in recent years.
ZHANG Aoya, SHI Meihui, SHEN Derong, KOU Yue, NIE Tiezheng
doaj +1 more source
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Heterogeneous Graph Structure Learning for Next Point-of-Interest Recommendation
Next Point-of-Interest (POI) recommendation is aimed at predicting users’ future visits based on their current status and historical check-in records, providing convenience to users and potential profits to businesses.
Juan Chen, Qiao Li
doaj +1 more source
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Embracing LLMs for Point-of-Interest Recommendations
A point-of-interest (POI) recommendation becomes the core function of location-based services. Unlike a traditional item recommendation, a POI recommendation has distinct features, such as geographical influences, complex mobility patterns, and a balance between local and global user preferences.
Tianxing Wang 0004, Can Wang 0004
openaire +2 more sources
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
Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari +5 more
wiley +1 more source
Context-Aware Knowledge Graph Learning for Point-of-Interest Recommendation
Existing point-of-interest (POI) recommendation methods often fail to capture complex contextual dependencies and suffer from severe data sparsity in location-based social networks (LBSNs).
Yan Zhou +3 more
doaj +1 more source
ABSTRACT Relapsed and/or refractory (R/R) pediatric acute leukemia carries a dismal prognosis, largely driven by chemoresistance to conventional salvage therapy. The BH3‐mimetic venetoclax, combined with chemotherapy or hypomethylating agents, has demonstrated efficacy in small clinical trials.
Katherine S. Colman +9 more
wiley +1 more source

