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Universal Recommendations for the Management of Acute Diarrhea in Nonmalnourished Children
(Wiley, 2018)
OBJECTIVE: Despite a substantial consistency in recommendations for the management of children with acute gastroenteritis (AGE), a high variability in clinical practice and a high rate of inappropriate medical interventions ...
Enhancing the Multi-Objective Recommendation from three new perspectives: data characterization, risk-sensitiveness, and prioritization of the objectives
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃOPrograma de Pós-Graduação em Ciência da ComputaçãoUFMG, 2022-05-27)
Recommender Systems are tools whose main objective is to help users find relevant items among many options. However, different "relevance" concepts can be defined, making the recommendation task even more challenging if ...
Antecedents of recommendation and repurchase intention on medical tourism
(Universidad del Zulia, 2019)
An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters
(Elsevier, 2018-08)
One of the main problems being faced at the time of performing data clustering consists in the deteremination of the best clustering method together with defining the ideal amount (k) of groups in which these data should ...
UpToDate adherence to GRADE criteria for strong recommendations: an analytical survey
(BMJ Publishing Group, 2017)
Introduction UpToDate is widely used by clinicians worldwide and includes more than 9400 recommendations that apply the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. GRADE guidance ...
Learning and adapting user criteria for recommending followees in social networks
(John Wiley & Sons Inc, 2017-08)
The accurate suggestion of interesting friends arises as a crucial issue in recommendation systems. The selection of friends or followees responds to several reasons whose importance might differ according to the characteristics ...
A conceptual architecture with trust consensus to enhance group recommendations
(Institute of Electrical and Electronics Engineers - IEEEInternational Association for Computer and Information Science - ACISTaiyuan, 2014-06)
Recommender Systems have been studied and developed as an indispensable technique of the Information Filtering field. A drawback of traditional user-item systems is that most recommenders ignore connections consistent with ...
Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques
Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and ...
Relevance, novelty, diversity and personalization in tag recommendation
(Universidade Federal de Minas GeraisUFMG, 2018-03-06)
The design and evaluation of tag recommendation methods have historically focused on maximizing the relevance of the suggested tags for a given object, such as a movie or a song. However, relevance by itself may not be ...
Recommendation domains: a framework for on-farm research
(CIMMYT, 2012)