Results 121 to 130 of about 23,764 (310)
, 2010 Recommender Systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource.
Prugel-Bennett, Adam +1 more
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Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
FEBS Open Bio, EarlyView.Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
A Social Framework for Set Recommendation in Group Recommender Systems
Latin-American Journal of Computing, 2016 This research article presents a study about the background in Group Recommender Systems and how social factors are directly related to these applications. Some important group recommender systems in academia are described to exemplify their contribution
Lorena Recalde
doaj
A Hybrid Recommendation System
, 2016 İnternet büyümesi her geçen gün gözlenmekte, özellikle de sosyal ağlarda bu durum fazlası ile hissedilmektedir. Sunulan ürünlerin, web sayfalarının fazlalığı, belli bir konuda araştırma yapan kişi için kendi konusu ile alakalı hususları bulmayı oldukça meşakkatli hale getirmektedir.
openaire +3 more sources
Incremental Kernel Mapping Algorithms for Scalable Recommender Systems
Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given item. Kernel Mapping Recommender (KMR)system algorithms have been proposed, which offer state-of-the-art performance.
Prugel-Bennett, Adam +2 more
core
Market-Based Recommender Systems: Learning Users’ Interests by Quality Classification
, 2004 Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique is best for all users in all situations. To combat this, we have previously
Wei, Yan Zheng +2 more
core
Third international workshop on health recommender systems (HealthRecSys 2018)
, 2018 The 3rd International Workshop on Health Recommender Systems was held in conjunction with the 2018 ACM Conference on Recommender Systems in Vancouver, Canada.
Schäfer, Hanna, +5 more
core +1 more source
FEBS Open Bio, EarlyView.Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya +2 more
wiley +1 more source
Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins
FEBS Open Bio, EarlyView.Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley +1 more source
Robust, scalable, and practical algorithms for recommender systems
, 2012 The purpose of recommender systems is to filter information unseen by a user to predict whether a user would like a given item. Making effective recommendations from a domain consisting of millions of ratings is a major research challenge in the ...
Ghazanfar, Mustansar Ali
core