Dijital reklamcilikta cihazlar arasi hedefleme

Hakan Toguc; Ridvan Salih Kuzu; Hazim Kemal Ekenel

doi:10.1109/SIU.2019.8806580

Dijital reklamcilikta cihazlar arasi hedefleme

Translated title of the contribution: Cross device targeting for digital advertising

Hakan Toguc, Ridvan Salih Kuzu, Hazim Kemal Ekenel

Department of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Translated title of the contribution	Cross device targeting for digital advertising
Original language	Turkish
Title of host publication	27th Signal Processing and Communications Applications Conference, SIU 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728119045
DOIs	https://doi.org/10.1109/SIU.2019.8806580
Publication status	Published - Apr 2019
Event	27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

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

Conference

Conference	27th Signal Processing and Communications Applications Conference, SIU 2019
Country/Territory	Turkey
City	Sivas
Period	24/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Access to Document

10.1109/SIU.2019.8806580

Cite this

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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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

Abstract

Publication series

Conference

Bibliographical note

Access to Document

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Cite this