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Inferring Presence Status on Smartphones: The Big Data Perspective


Antonić, Aleksandar; Podnar Žarko, Ivana; Jakobović, Domagoj
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)


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, 7-10.07.2013

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


Projekt / tema
036-0362027-1639 - Isporuka sadržaja i pokretljivost korisnika i usluga u mrežama nove generacije (Maja Matijašević, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb