Autor según el artículo: Al-Molegi, Abdulrahman; Alsmadi, Izzat; Martinez-Balleste, Antoni;
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Martínez Ballesté, Antoni
Palabras clave: Regions-of-interest discovering People movement Markov chain Location-based services Location prediction
Resumen: Abstract Location-Based Services (LBSs) provide users especially in smartphones with information and services based on their location and interests. Predicting people’s next location could help in improving the quality of such services and, in turn, boosting people’s confidence on those services. Any successful LBS algorithm or model should target three major goals: Location prediction accuracy, high throughput or fast response and efficiency in terms of utilizing smartphone resources. This paper proposes a new approach to discover and predict people’s next location based on their mobility patterns, while being computationally efficient. The approach starts by discovering Regions-of-Interest (RoIs) in people’s historical trajectories (which denote the locations where users have been previously, frequently). A new model based on Markov Chain (MC) is proposed to overcome the drawback of classical MC. Our …
Áreas temáticas: Telecommunications Software Information systems Hardware and architecture Computer science, information systems Computer science applications Computer science (miscellaneous) Computer networks and communications Ciência da computação Applied mathematics
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: antoni.martinez@urv.cat
Identificador del autor: 0000-0002-1787-7410
Fecha de alta del registro: 2024-08-31
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S1574119217303632?via%3Dihub
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Pervasive And Mobile Computing. 47 31-53
Referencia de l'ítem segons les normes APA: Al-Molegi, Abdulrahman; Alsmadi, Izzat; Martinez-Balleste, Antoni; (2018). Regions-of-interest discovering and predicting in smartphone environments. Pervasive And Mobile Computing, 47(), 31-53. DOI: 10.1016/j.pmcj.2018.05.001
DOI del artículo: 10.1016/j.pmcj.2018.05.001
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2018
Tipo de publicación: Journal Publications
Repositori URV