XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
Researchers from the German Cancer Research Center (DKFZ), the HI-STEM* Stem Cell Institute and Heidelberg University ...
Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...
Abstract: Social commerce networks increased rapidly during recent years because internet purchasing merged with social media. These networks have transformed the complete process through which people ...
For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...
Disease-modifying therapies for Alzheimer’s disease (AD) heighten demand for scalable tools enabling primary care providers (PCPs) to detect cognitive impairment and triage patients for appropriate ...
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