Dijital reklamcilikta cihazlar arasi hedefleme

Hakan Toguc; Ridvan Salih Kuzu; Hazim Kemal Ekenel

doi:10.1109/SIU.2019.8806580

Dijital reklamcilikta cihazlar arasi hedefleme

Hakan Toguc
, Ridvan Salih Kuzu
, Hazim Kemal Ekenel

Bilgisayar Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Tercüme edilen katkı başlığı	Cross device targeting for digital advertising
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	27th Signal Processing and Communications Applications Conference, SIU 2019
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728119045
DOI'lar	https://doi.org/10.1109/SIU.2019.8806580
Yayın durumu	Yayınlandı - Nis 2019
Etkinlik	27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey Süre: 24 Nis 2019 → 26 Nis 2019

Yayın serisi

Adı	27th Signal Processing and Communications Applications Conference, SIU 2019

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	27th Signal Processing and Communications Applications Conference, SIU 2019
Ülke/Bölge	Turkey
Şehir	Sivas
Periyot	24/04/19 → 26/04/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Keywords

Behavioural User Profiling
Browser Fingerprinting
Cross Device Targeting
Probabilistic Linking

Belgeye Erişim

10.1109/SIU.2019.8806580

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{576aa9ac31f94f558aad6172c54a1cd9,

title = "Dijital reklamcilikta cihazlar arasi hedefleme",

abstract = "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.",

keywords = "Behavioural User Profiling, Browser Fingerprinting, Cross Device Targeting, Probabilistic Linking",

author = "Hakan Toguc and Kuzu, \{Ridvan Salih\} and Ekenel, \{Hazim Kemal\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th Signal Processing and Communications Applications Conference, SIU 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

year = "2019",

month = apr,

doi = "10.1109/SIU.2019.8806580",

language = "T{\"u}rk{\c c}e",

series = "27th Signal Processing and Communications Applications Conference, SIU 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "27th Signal Processing and Communications Applications Conference, SIU 2019",

address = "United States",

}

Toguc, H, Kuzu, RS & Ekenel, HK 2019, Dijital reklamcilikta cihazlar arasi hedefleme. in 27th Signal Processing and Communications Applications Conference, SIU 2019., 8806580, 27th Signal Processing and Communications Applications Conference, SIU 2019, Institute of Electrical and Electronics Engineers Inc., 27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Turkey, 24/04/19. https://doi.org/10.1109/SIU.2019.8806580

Dijital reklamcilikta cihazlar arasi hedefleme. / Toguc, Hakan; Kuzu, Ridvan Salih; Ekenel, Hazim Kemal.
27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8806580 (27th Signal Processing and Communications Applications Conference, SIU 2019).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Dijital reklamcilikta cihazlar arasi hedefleme

AU - Toguc, Hakan

AU - Kuzu, Ridvan Salih

AU - Ekenel, Hazim Kemal

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 - https://www.scopus.com/pages/publications/85071979845

U2 - 10.1109/SIU.2019.8806580

DO - 10.1109/SIU.2019.8806580

M3 - Konferans katkısı

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 -

Dijital reklamcilikta cihazlar arasi hedefleme

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap