Autor segons l'article: Al-Molegi, Abdulrahman; Alsmadi, Izzat; Martinez-Balleste, Antoni;
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Martínez Ballesté, Antoni
Paraules clau: Regions-of-interest discovering People movement Markov chain Location-based services Location prediction
Resum: 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 …
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: antoni.martinez@urv.cat
Identificador de l'autor: 0000-0002-1787-7410
Data d'alta del registre: 2024-08-31
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S1574119217303632?via%3Dihub
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Pervasive And Mobile Computing. 47 31-53
Referència 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 de l'article: 10.1016/j.pmcj.2018.05.001
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2018
Tipus de publicació: Journal Publications
Repositori URV