Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Priscila Valdiviezo"'
Publikováno v:
Informática y Sistemas, Vol 6, Iss 1, Pp 22-34 (2022)
Currently exist a large amount of news in a digital format that need to be classified or labeled automatically according to their content. LDA is an unsupervised technique that automatically creates topics based on words in documents. The present wor
Externí odkaz:
https://doaj.org/article/be24305013674ef9b2f6e48b3c2563f4
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 7, p e37233 (2022)
BackgroundDiabetes is a public health problem worldwide. Although diabetes is a chronic and incurable disease, measures and treatments can be taken to control it and keep the patient stable. Diabetes has been the subject of extensive research, rangin
Externí odkaz:
https://doaj.org/article/b7ef173db53d4ed69570aa9324b73b7e
Publikováno v:
IEEE Access, Vol 7, Pp 108581-108592 (2019)
Recommender system is an information filtering tool used to alleviate information overload for users on the web. Collaborative filtering recommends items to users based on their historical rating information. There are two approaches: memory-based, w
Externí odkaz:
https://doaj.org/article/01986723c9d24da49384aca1bb81de32
Publikováno v:
IEEE Access, Vol 6, Pp 69582-69591 (2018)
Several collaborative filtering (CF) approaches have been developed in order to improve the quality of the recommendations. However, this improvement has always been measured as the average quality of the performed recommendations across all the user
Externí odkaz:
https://doaj.org/article/9ffbce3fc01049828e23ba1af269a259
Publikováno v:
Applied Computing and Informatics, Vol 13, Iss 2, Pp 147-160 (2017)
In this paper, we propose a general framework for an intelligent recommender system that extends the concept of a knowledge-based recommender system. The intelligent recommender system exploits knowledge, learns, discovers new information, infers pre
Externí odkaz:
https://doaj.org/article/89cc169a516f41eaa221e7aded876161
Publikováno v:
Inteligencia Artificial, Vol 20, Iss 60, Pp 1-19 (2017)
The three-dimensional (3D) game-based intelligent science tutoring system (GIST) is an e- learning platform for science. The individual complexity of 3D games and conventional intelligent tutoring systems (ITS) results in extra complexities in system
Externí odkaz:
https://doaj.org/article/e20bf2570d7044ac82f570526ac36a76
Publikováno v:
Information, Vol 12, Iss 6, p 232 (2021)
In recent years, the use of recommender systems has become popular on the web. To improve recommendation performance, usage, and scalability, the research has evolved by producing several generations of recommender systems. There is much literature a
Externí odkaz:
https://doaj.org/article/3f84c4f656014df99de2848becf62143
Publikováno v:
PROFESORADO, Vol 18, Iss 1, Pp 63-72 (2014)
Se vive una transformación acelerada en la educación superior impulsada por el desarrollo tecnológico, nos encaminamos a una globalización de la universidad en la que la masificación vista en los cursos masivos abiertos en línea (MOOC por sus s
Externí odkaz:
https://doaj.org/article/819d28a9badb4edf8fa7cdde376d9a7c
Publikováno v:
RED. Revista de Educación a Distancia, Iss 35, Pp 1-8 (2013)
En este artículo se plantea un nuevo modelo de formación utilizando redes sociales inmersas en un ambiente Moodle. La aplicación del concepto de redes sociales da paso al aprendizaje informal dentro del ambiente formal que constituye un curso. El
Externí odkaz:
https://doaj.org/article/faadf87e57dd4645b831b93ca70f2ba5
Publikováno v:
International Journal of Emerging Technologies in Learning (iJET). 17:144-155
The level of attention of students who receive classes through videoconferencing platforms is troubling. Different throughout an entire lecture, the instructor can perceive the participants' behavior, while in an online class, it is difficult to dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fa1f1037f93675a9067b895bcee8fac
https://doi.org/10.3991/ijet.v17i22.34241
https://doi.org/10.3991/ijet.v17i22.34241