Results 41 to 50 of about 2,558,236 (276)

IUAutoTimeSVD++: A Hybrid Temporal Recommender System Integrating Item and User Features Using a Contractive Autoencoder

Information
Collaborative filtering (CF), a fundamental technique in personalized Recommender Systems, operates by leveraging user–item preference interactions. Matrix factorization remains one of the most prevalent CF-based methods.
Abdelghani Azri, Adil Haddi, Hakim Allali   +2 more
doaj   +1 more source

Resource Recommender for Cloud-Edge Engineering

Information, 2021
The interaction between artificial intelligence (AI), edge, and cloud is a fast-evolving realm in which pushing computation close to the data sources is increasingly adopted.
Amirmohammad Pasdar, Young Choon Lee, Tahereh Hassanzadeh, Khaled Almi’ani   +3 more
doaj   +1 more source

Senate Bill 91: Summary of Policy Reforms [PDF]

, 2016
Complete issue of Alaska Justice Forum 33(1), Spring 2016 at https://scholarworks.alaska.edu/handle/11122/6883.This article highlights provisions of Senate Bill 91, "Omnibus Criminal Law & Procedure; Corrections Act," related to the recommendations of ...
UAA Justice Center
core  

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Recommendations for the Model-Based Systems Engineering Modeling Process Based on the SysML Model and Domain Knowledge

Applied Sciences
Model-based systems engineering (MBSE) is a modeling approach used in industry to support the formalization, analysis, design, checking and verification of systems. In MBSE modeling, domain knowledge is the basis of the modeling.
Jia Zhang, Shuqun Yang
doaj   +1 more source

A Hybrid Web Recommendation System based on the Improved Association Rule Mining Algorithm

, 2013
As the growing interest of web recommendation systems those are applied to deliver customized data for their users, we started working on this system.
Mukhopadhyay, Debajyoti, Vij, Sheetal, Wanaskar, Ujwala   +2 more
core   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Riley recommendations

Veterinary Record, 1989
  +21 more sources

A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships

Information, 2019
Service recommendation is one of the important means of service selection. Aiming at the problems of ignoring the influence of typical data sources such as service information and interaction logs on the similarity calculation of user preferences and ...
Lijun Duan, Hao Tian, Kun Liu
doaj   +1 more source

Recommendation System for News Reader [PDF]

, 2013
Recommendation Systems help users to find information and make decisions where they lack the required knowledge to judge a particular product. Also, the information dataset available can be huge and recommendation systems help in filtering this data ...
Athalye, Shweta
core   +1 more source