International Journal of Computational Intelligence Systems

Volume 6, Issue 3, May 2013, Pages 396 - 410

Computational Intelligence Based Decision Support Tool for Personalized Advertisement Assignment System

Authors
Kemal Kilic, Onur Bozkurt
Corresponding Author
Kemal Kilic
Available Online 1 May 2013.
DOI
https://doi.org/10.1080/18756891.2013.780725How to use a DOI?
Keywords
Personalized Advertising, Virtual Platforms, Advertisement Assignment, Computational Intelligence, Optimization
Abstract
In this paper a comprehensive framework that maximizes advertising revenues of a company in a personalized advertisement setting is presented. The research was motivated from a real life problem faced by a company that develops a web based 3-D virtual reality social platform. The objective of the research was both development of a business model and the framework. Four heuristics are proposed as part of the framework. The performance of these heuristics was tested with an experimental analysis.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 3
Pages
396 - 410
Publication Date
2013/05
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.780725How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Kemal Kilic
AU  - Onur Bozkurt
PY  - 2013
DA  - 2013/05
TI  - Computational Intelligence Based Decision Support Tool for Personalized Advertisement Assignment System
JO  - International Journal of Computational Intelligence Systems
SP  - 396
EP  - 410
VL  - 6
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.780725
DO  - https://doi.org/10.1080/18756891.2013.780725
ID  - Kilic2013
ER  -