Results 71 to 80 of about 201,081 (282)
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
An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise
Collaborative filtering based recommender systems have proven to be extremely successful in settings where user preference data on items is abundant. However, collaborative filtering algorithms are hindered by their weakness against the item cold-start ...
Becerra, Claudia +4 more
core +1 more source
CF4J: Collaborative filtering for Java
Recommender Systems (RS) provide a relevant tool to mitigate the information overload problem. A large number of researchers have published hundreds of papers to improve different RS features. It is advisable to use RS frameworks that simplify RS researchers: a) to design and implement recommendations methods and, b) to speed up the execution time of ...
Fernando Ortega 0001 +3 more
openaire +2 more sources
A Systematic Comparison of Alpha‐Synuclein Seed Amplification Assays for Increasing Reproducibility
ABSTRACT Seed amplification assays (SAAs) enable ultrasensitive detection of misfolded α‐synuclein across biofluids and tissues. Yet, heterogeneity in protocols limits cross‐study comparability and clinical translation. Here, we review α‐synuclein SAA methods and their performance across various biological matrices.
Manuela Amaral‐do‐Nascimento +3 more
wiley +1 more source
Neural Collaborative with Sentence BERT for News Recommender System
The number of news produced every day is as much as 3 million per day, making readers have many choices in choosing news according to each reader's topic and category preferences.
Budi Juarto, Abba Suganda Girsang
doaj +1 more source
Stability of matrix factorization for collaborative filtering [PDF]
We study the stability vis a vis adversarial noise of matrix factorization algorithm for matrix completion. In particular, our results include: (I) we bound the gap between the solution matrix of the factorization method and the ground truth in terms of ...
Wang, Yu-Xiang, Xu, Huan
core
Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants
ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree +9 more
wiley +1 more source
Users and learners nowadays are seeking their education on online platforms such as Open edX, Udemy, Udacity, and Coursera. However, online learners are faced with cumbersome tasks and various challenges to search for the required courses matching their
Noman Islam
doaj +1 more source
PERBANDINGAN EFEKTIFITAS METODE USER-BASED COLLABORATIVE FILTERINGDENGAN METODE USER-ITEM BASED COLLABORATIVE FILTERING [PDF]
This research will compare the effectiveness user-based collaborative filtering method and user-item based collaborative filtering method. User-based collaborative filtering method provides high-quality recommendation because it
AGUSTA, INDIKA SATRIYANA
core
Objective This study aimed to characterize the pharmacokinetics, pharmacodynamics, safety, and exploratory efficacy of subcutaneous belimumab in pediatric patients with active systemic lupus erythematosus (SLE) receiving standard therapy. Methods This single‐arm, multicenter, open‐label trial (GSK study 200908; ClinicalTrials.gov identifier ...
Hermine I. Brunner +14 more
wiley +1 more source

