Results 41 to 50 of about 73,191 (271)
Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review [PDF]
Background: Recommender systems are information retrieval systems that provide users with relevant items (e.g., through messages). Despite their extensive use in the e-commerce and leisure domains, their application in healthcare is still in its ...
Civit Balcells, Antón +6 more
core +1 more source
Digital nudging with recommender systems: Survey and future directions
Recommender systems are nowadays a pervasive part of our online user experience, where they either serve as information filters or provide us with suggestions for additionally relevant content.
Mathias Jesse, Dietmar Jannach
doaj +1 more source
Web based Recommender Systems and Rating Prediction [PDF]
This project implements a recommender system on large dataset of Netflix’s movies. This project also tries to improve recommender systems by incorporating confidence interval and genres of movies. This new approach enhances the performance and quality of
Nguyen, Tho
core +1 more source
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source
Onto Proximality in Non Negative Matrix Factorization for Recommender Systems
Recommender Systems have become integral to most e-commerce applications and online platforms. The recommended suggestions heavily impact customer retention and business performance.
Rachana Mehta +2 more
doaj +1 more source
Explainable AI and deep learning models for recommender systems: State of the art and challenges [PDF]
Recommender systems have a pivotal function in delivering customized and pertinent suggestions to clients on the basis of their preferences and activities.
Maroua Benleulmi +3 more
doaj +3 more sources
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy
Recommender systems have become an integral part of many social networks and extract knowledge from a user's personal and sensitive data both explicitly, with the user's knowledge, and implicitly.
Aghasian, Erfan +2 more
core +1 more source
Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source
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
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source

