Kılıç, Kemal and Bozkurt, Onur (2013) Computational intelligence based decision support tool for personalized advertisement assignment system. International Journal of Computational Intelligence Systems, 6 (3). pp. 396-410. ISSN 1875-6891 (Print) 1875-6883 (Online)
This is the latest version of this item.
Official URL: http://dx.doi.org/10.1080/18756891.2013.780725
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 novel 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Personalized Advertising; Virtual Platforms; Advertisement Assignment; Computational Intelligence; Optimization |
| Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering Faculty of Engineering and Natural Sciences Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng. |
| Depositing User: | Kemal Kılıç |
| Date Deposited: | 23 Jan 2014 11:05 |
| Last Modified: | 02 Aug 2019 09:46 |
| URI: | https://research.sabanciuniv.edu/id/eprint/23865 |
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Computational intelligence based decision support tool for personalized advertisement assignment system. (deposited 09 Dec 2012 22:24)
- Computational intelligence based decision support tool for personalized advertisement assignment system. (deposited 23 Jan 2014 11:05) [Currently Displayed]
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