[HTML][HTML] Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review

AE Onile, R Machlev, E Petlenkov, Y Levron, J Belikov - Energy Reports, 2021‏ - Elsevier
Innovative solutions targeting improvements in the behavior of energy consumers will be
required to achieve desired efficiency in the use of energy. Among other measures for …

[PDF][PDF] Zero-suppressed BDDs for set manipulation in combinatorial problems

S Minato - Proceedings of the 30th International Design …, 1993‏ - dl.acm.org
In this paper, we propose Zero-Suppressed BDDs (O-Sup-BDDs), which are BDDs based on
a new reduction rule. This data structure brings unique and compact representation of sets …

A portal of educational resources: providing evidence for matching pedagogy with technology

N Di Blas, A Fiore, L Mainetti, R Vergallo… - Research in Learning …, 2014‏ - journal.alt.ac.uk
Abstract The TPACK (Technology, Pedagogy and Content Knowledge) model presents the
three types of knowledge that are necessary to implement a successful technology-based …

Personalized recommendation for online retail applications based on ontology evolution

R Alaa, M Gawich, M Fernández-Veiga - Proceedings of the 2020 6th …, 2020‏ - dl.acm.org
The upcoming generation of World Wide Web is signified in semantic web technology that
allows future applications to grasp and connect with numerous knowledge bases. Due to its …

User recommender system based on knowledge, availability, and reputation from interactions in forums

SV Aciar, GI Aciar, CA Collazos… - … de Tecnologias del …, 2016‏ - ieeexplore.ieee.org
In this paper, a recommender system is described, where the user recommendations are
made considering the degree of knowledge and user availability to answer questions from …

Defining an affective algorithm for purchasing decisions in E-commerce environments

D Cabrera, N Araya, H Jaime, C Cubillos… - IEEE Latin America …, 2015‏ - ieeexplore.ieee.org
This paper presents an affective algorithm to support purchasing decisions in e-commerce
environments. The literature associated with decision-making theory includes the affective …

Innovative Energy Services for Behavioral-Reflective Attributes and Intelligent Recommender System

AE Onile, J Belikov, Y Levron - 2020 IEEE PES Innovative …, 2020‏ - ieeexplore.ieee.org
The European Union is promoting efficient use of energy through innovative energy services
targeting improved consumer behavior. At a time when the value and preferences of …

User Recommender based on information from forums

SV Aciar, GI Aciar, CA Collazos… - Proceedings of the XV …, 2014‏ - dl.acm.org
This paper proposes: a tool for virtual learning platforms that recommends users who know
about a particular subject; a new recommender method that takes into account the users' …

[PDF][PDF] A different perspective in building tools to collect and share educational resources

A Fiore, L Mainetti, R Vergallo - Journal of e-Learning and …, 2015‏ - learntechlib.org
Until now, a large amount of effort has been spent on structuring educational repositories.
Standard metadata for learning objects have been provided and large databases have been …

Valoración de objetos de aprendizajes desde comentarios escritos por usuarios en la web

S Aciar - XX Congreso Argentino de Ciencias de la …, 2014‏ - sedici.unlp.edu.ar
Dado el incremento en el uso de las plataformas virtuales se ha generado gran cantidad de
objetos de aprendizajes disponibles en Internet, es necesario entonces aplicar métodos …