Análisis del comportamiento contextual del usuario y su relación con el consumo de aplicaciones móviles

The mobile applications market is growing rapidly, capturing the attention on the analysis of the consumption of applications to improve their recommendation and the satisfaction of the user. The analysis is based on the search for information that allow explaining the occurrence of events of the li...

Full description

Autores:
Rojas Potosí, Luis Antonio; Universidad del Cauca
Krug Wives, Leandro; Universidad Federal de Rio Grande del Sur
Fernández, Alejandro; Universidad Nacional de la Plata (UNLP)
Corrales, Juan Carlos; Universidad del Cauca
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/1818
Acceso en línea:
http://hdl.handle.net/11407/1818
Palabra clave:
contextual behavior analysis
user
mobile applications
análisis contextual de comportamiento
usuario
aplicaciones móviles
Rights
License
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:The mobile applications market is growing rapidly, capturing the attention on the analysis of the consumption of applications to improve their recommendation and the satisfaction of the user. The analysis is based on the search for information that allow explaining the occurrence of events of the life cycle of the applications. In this sense, several studies show a strong relation between such events and information about the current contextual situation of the users and their application consumption record. Nevertheless, the mentioned studies do not take into account the relation existing between the contextual dimensions status record (knownas CUBe), and the occurrence of application life cycle events, but it was taken into account for this research work. Therefore, a statistical analysis about an actual dataset is presented, evidencing a strong relation between the CUBe and the launch of a set of applications. Finally, a scenario where these relations can be used for enriching recommendation systems for mobile applications is described.