TY - GEN
T1 - Dijital reklamcilikta cihazlar arasi hedefleme
AU - Toguc, Hakan
AU - Kuzu, Ridvan Salih
AU - Ekenel, Hazim Kemal
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - Due to the convergence of digital marketing and advertising efforts with variety of digital devices like tablets, smartphones, PCs, smart TVs, and even wearable devices, tracking the relations among these devices has become a key component for personalised targeting of their users. This study proposes a new probabilistic cross device matching approach by depending on various machine learning algorithms along with a new dataset which can be used as a benchmark for future studies.
AB - Due to the convergence of digital marketing and advertising efforts with variety of digital devices like tablets, smartphones, PCs, smart TVs, and even wearable devices, tracking the relations among these devices has become a key component for personalised targeting of their users. This study proposes a new probabilistic cross device matching approach by depending on various machine learning algorithms along with a new dataset which can be used as a benchmark for future studies.
KW - Behavioural User Profiling
KW - Browser Fingerprinting
KW - Cross Device Targeting
KW - Probabilistic Linking
UR - http://www.scopus.com/inward/record.url?scp=85071979845&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071979845&partnerID=8YFLogxK
U2 - 10.1109/SIU.2019.8806580
DO - 10.1109/SIU.2019.8806580
M3 - Conference contribution
AN - SCOPUS:85071979845
T3 - 27th Signal Processing and Communications Applications Conference, SIU 2019
BT - 27th Signal Processing and Communications Applications Conference, SIU 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th Signal Processing and Communications Applications Conference, SIU 2019
Y2 - 24 April 2019 through 26 April 2019
ER -