Intelligent Tutoring System for the Impact Analysis and Assessment of Online Ads and Intuitive Online Ad Serving

T. Nampitch, Ieva Ubarte, Ingrida Vetloviene and Darius Skirmantas
Additional contact information
T. Nampitch: Vilnius Gediminas Technical University, Vilnius, Lithuania
Ieva Ubarte: Vilnius Gediminas Technical University, Vilnius, Lithuania
Ingrida Vetloviene: Vilnius Gediminas Technical University, Vilnius, Lithuania
Darius Skirmantas: Vilnius Gediminas Technical University, Vilnius, Lithuania

International Journal of Technology and Engineering Studies, 2020, vol. 6, issue 1, 16-22

Abstract: Real-time ad personalization is a major research area in modern marketing. According to Ecommerce Europe, 90% of offline shoppers say that personalized ads play a big role in their decisions to buy, while 51% of buyers would share their personal details if that would mean they see only relevant ads equated to information in the consumer’s mind. The idea of this research is to explore neuroadvertising by integrating research methods and to develop ViNeRS, a new method, and system. The ViNeRS method can process big data and offers automated online tips on ways to make ads more effective. Well-targeted ads can make businesses more efficient, help save resources, attract more users, and create opportunities for faster expansion. The researchs aim is to create the Intelligent tutoring system for the impact analysis and assessment of online ads and intuitive online ad serving, which will analyze and assess the impact of online ads (unfinished ad content), the efficiency of ads at each stage of their creation, determine their advantages and disadvantages, improve them until the most catchy version is achieved, enables integrated assessment of neurobiological viewer response and can make real-time selection of the most effective ad option. The system will be able to determine how many times a promotional message should be repeated in a certain part of your video to achieve an effective promotional campaign.

Keywords: Neuromarketing; intelligent tutoring system; personalization; analysis; online ads (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://kkgpublications.com/technology-engineering-studies-volume-6-issue-1/ (application/pdf)
https://kkgpublications.com/wp-content/uploads/2020/11/ijtes.6.10003-1.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:apa:ijtess:2020:p:16-22

DOI: 10.20469/ijtes.6.10003-1

Access Statistics for this article

International Journal of Technology and Engineering Studies is currently edited by PROF.IR.DR.Mohid Jailani Mohd Nor

More articles in International Journal of Technology and Engineering Studies from PROF.IR.DR.Mohid Jailani Mohd Nor Calle Alarcon 66, Sant Adrian De Besos 08930, Barcelona Spain.
Bibliographic data for series maintained by PROF.IR.DR.Mohid Jailani Mohd Nor ().