A Comparative Study of Rank Aggregation Methods in Recommendation Systems. [PDF]
Bałchanowski M, Boryczka U.
europepmc +1 more source
Recommendation Systems, Parents, and Preschool Children: The Story Behind Digital Technology
A survey was conducted in November 2023, involving 554 Slovenian parents and their preschool-aged children. The survey aimed to investigate the following: (i) the way parents and their preschool-aged children employ social media and digital technology ...
Lorena Mihelač
doaj +1 more source
Scientific paper recommendation systems: a literature review of recent publications. [PDF]
Kreutz CK, Schenkel R.
europepmc +1 more source
BitterMatch: recommendation systems for matching molecules with bitter taste receptors. [PDF]
Margulis E +5 more
europepmc +1 more source
In today’s world, with rapidly developing technology, it has become possible to perform many transactions over the internet. Consequently, providing better service to online customers in every field has become a crucial task.
Enes Celik, Sevinc Ilhan Omurca
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Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems. [PDF]
Alaa El-Deen Ahmed R +2 more
europepmc +1 more source
News Recommendation System Using Content-Based Filtering through RSS Customization Service
News refers to stories or information about current events or incidents. Several news websites offer a service called RSS (Really Simple Syndication), which enables users to easily receive updates on the latest news.
Ida Ayu Widya Nandita +2 more
doaj +1 more source
Content Recommendation Systems in Web-Based Mental Health Care: Real-world Application and Formative Evaluation. [PDF]
Chaturvedi A +11 more
europepmc +1 more source
Recommendation systems (RS) are vital tools for mitigating information overload and data sparsity challenges in modern e-commerce platforms. This study focuses on developing and evaluating a Collaborative Filtering (CF) model utilizing Singular Value ...
Galih Mahalisa, Silvia Ratna, M. Muflih
doaj +1 more source
Self-supervised graph neural network with pre-training generative learning for recommendation systems. [PDF]
Min X, Li W, Yang J, Xie W, Zhao D.
europepmc +1 more source

