Pregled bibliografske jedinice broj: 641367
Inferring Presence Status on Smartphones: The Big Data Perspective
Inferring Presence Status on Smartphones: The Big Data Perspective // Proceedings of the 18th IEEE Symposium on Computers and Communications 2013
Split, Hrvatska, 2013. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 641367 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Inferring Presence Status on Smartphones: The Big Data Perspective
Autori
Antonić, Aleksandar ; Podnar Žarko, Ivana ; Jakobović, Domagoj
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 18th IEEE Symposium on Computers and Communications 2013
/ - , 2013
Skup
IEEE Symposium on Computers and Communications 2013
Mjesto i datum
Split, Hrvatska, 07.07.2013. - 10.07.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
rich presence service ; Logistic Regression model
Sažetak
Presence is defined as the willingness and ability of a user to communicate across a set of devices with other users, and thus an up-to- date user presence status represents an essential prerequisite for real-time communications. The paper presents a solution for learning and inferring user presence status on smartphones using the available context data with a goal to enable continuous implicit change of presence without user intervention.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0362027-1639 - Isporuka sadržaja i pokretljivost korisnika i usluga u mrežama nove generacije (Matijašević, Maja, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
