Skip to Main content Skip to Navigation
Conference papers

Data Flow Framework: A persona-based repository to modeling recommender systems

Abstract : The present project comes to propose a framework of data acquisition and structured repository in order to be able to apply machine learning techniques to content recommendation. For this, it is intended to use as a basis the modeling and prediction of future scenarios created from the AvaSUS (Virtual Learning Environment of Single Health System in Brazil) data, coverage of primary care in Brazil data, quality indicators from primary care, health facilities and health professional data, as well as data from diseases with mandatory notification. The AvaSUS data are obtained directly from the its database, whereas the others are part of a data lake built for research. The construction of a repository is due to the need of conformation of the structures, to this was chosen to work with the Experience API (or xApi) which defines an ontology structuring users and resources from one action.
Complete list of metadata

Cited literature [4 references]  Display  Hide  Download

https://hal.inria.fr/hal-02469655
Contributor : Azim Roussanaly <>
Submitted on : Thursday, February 6, 2020 - 4:29:49 PM
Last modification on : Sunday, February 9, 2020 - 1:09:06 AM

File

Data Flow Framework- A persona...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02469655, version 1

Collections

Citation

Rodrigo Dantas da Silva, José Arilton Pereira Filho, Philippi Sedir Grilo de Morais, Ricardo Alexsandro de Medeiros Valentim, Karilany Dantas Coutinho, et al.. Data Flow Framework: A persona-based repository to modeling recommender systems. 3rd Annual Learning & Student Analytics Conference (LSAC 2019), Oct 2019, Nancy, France. ⟨hal-02469655⟩

Share

Metrics

Record views

60

Files downloads

119