Cargando…
HealthRecSys: A semantic content-based recommender system to complement health videos
BACKGROUND: The Internet, and its popularity, continues to grow at an unprecedented pace. Watching videos online is very popular; it is estimated that 500 h of video are uploaded onto YouTube, a video-sharing service, every minute and that, by 2019, video formats will comprise more than 80% of Inter...
Autores principales: | Sanchez Bocanegra, Carlos Luis, Sevillano Ramos, Jose Luis, Rizo, Carlos, Civit, Anton, Fernandez-Luque, Luis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433022/ https://www.ncbi.nlm.nih.gov/pubmed/28506225 http://dx.doi.org/10.1186/s12911-017-0431-7 |
Ejemplares similares
-
Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol
por: Hors-Fraile, Santiago, et al.
Publicado: (2018) -
A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial
por: Carrasco-Hernandez, Laura, et al.
Publicado: (2020) -
Photo2Video: Semantic-Aware Deep Learning-Based Video Generation from Still Content
por: Viana, Paula, et al.
Publicado: (2022) -
HealthTrust: A Social Network Approach for Retrieving Online Health Videos
por: Fernandez-Luque, Luis, et al.
Publicado: (2012) -
SysML in action with Cameo Systems Modeler
por: Casse, Olivier
Publicado: (2017)