Results 61 to 70 of about 66,899 (270)
Personalized recommender systems rely on each user's personal usage data in the system, in order to assist in decision making. However, privacy policies protecting users' rights prevent these highly personal data from being publicly available to a wider ...
B. Berendt +13 more
core +1 more source
Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright +13 more
wiley +1 more source
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems
Designing an e-commerce recommender system that serves hundreds of millions of active users is a daunting challenge. From a human vision perspective, there're two key factors that affect users' behaviors: items' attractiveness and their matching degree ...
He, Yang +6 more
core +1 more source
Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek +13 more
wiley +1 more source
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian +7 more
wiley +1 more source
Recommender System Using Collaborative Filtering Algorithm [PDF]
With the vast amount of data that the world has nowadays, institutions are looking for more and more accurate ways of using this data. Companies like Amazon use their huge amounts of data to give recommendations for users.
Alluhaidan, Ala
core +1 more source
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
ANALYSIS OF CONTENT RECOMMENDATION METHODS IN INFORMATION SERVICES
The object of the research is the process of selecting a content recommendation method in information services. The study's relevance stems from the rapid development of informational and entertainment resources and the increasing volume of data they ...
Oleksandr Necheporuk +4 more
doaj +1 more source
Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet.
Introducing a knowledge graph into a recommender system as auxiliary information can effectively solve the sparse and cold start problems existing in traditional recommender systems. In recent years, many researchers have performed related work.
YueQun Wang +3 more
doaj +1 more source
The newfound relationship between extrachromosomal DNAs and excised signal circles
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source

