Results 31 to 40 of about 953,109 (304)

The benefits of opening recommendation to human interaction [PDF]

open access: yes, 2011
This paper describes work in progress that uses an interactive recommendation process to construct new objects which are tailored to user preferences. The novelty in our work is moving from the recommendation of static objects like consumer goods, movies
Hurrell, Eoin, Smeaton, Alan F.
core   +1 more source

The treatment practices for anterior urethral strictures in China: A case-based survey

open access: yesFrontiers in Surgery, 2022
ObjectiveTo investigate the treatment concept of Chinese urologists for anterior urethral strictures based on actual cases.MethodsA self-designed case-based questionnaire was distributed to the members of Official WeChat account of Learning Union from ...
Changhao Hou   +15 more
doaj   +1 more source

CBCRS: An open case-based color recommendation system [PDF]

open access: yes, 2018
In this paper, a case-based color recommendation system (CBCRS) is proposed for online color ranges (CRs) recommendation. This system can help designers and consumers to obtain the most appropriate CR of consumer-products (e.g., garments, cars ...
HONG, Yan   +9 more
core   +1 more source

Introduction of Situation, Background, Assessment, Recommendation into Nursing Practice: A Prospective Study

open access: yesAsia-Pacific Journal of Oncology Nursing, 2016
Objective: The aim of the study was to introduce and evaluate the compliance to documentation of situation, background, assessment, recommendation (SBAR) form. Methods: Twenty nurses involved in active bedside care were selected by simple random sampling.
Meera S Achrekar   +5 more
doaj   +1 more source

Physical Activity in the Prevention of Childhood Obesity: The Position of the European Childhood Obesity Group and the European Academy of Pediatrics

open access: yesFrontiers in Pediatrics, 2020
Obesity affects an increasing number of children and adolescents. Physical activity (PA) is a significant factor in the prevention of excessive body mass in the pediatric population.
Justyna Wyszyńska   +18 more
doaj   +1 more source

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

open access: yesInformation
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   +2 more
doaj   +1 more source

Resource Recommender for Cloud-Edge Engineering

open access: yesInformation, 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   +3 more
doaj   +1 more source

Neural Hybrid Recommender: Recommendation Needs Collaboration [PDF]

open access: yes, 2020
In recent years, deep learning has gained an indisputable success in computer vision, speech recognition, and natural language processing. After its rising success on these challenging areas, it has been studied on recommender systems as well, but mostly to include content features into traditional methods.
Ezgi Yildirim   +2 more
openaire   +4 more sources

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

open access: yesPediatric 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   +23 more
wiley   +1 more source

Integrated mobile content recommendation: A comparison study [PDF]

open access: yes, 2012
A recommendation system can be used to help mobile device users for content filtering. However, there are problems related to sparsity of information from a first-time user. The problem is also regarding to initial rating of the content in an early stage
Wong, K.W., Fung, C.C., Paireekreng, W.
core  

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