Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Sumer, Ernie"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Thumbnail Image
    Item
    A Novel Computer Vision-Based Advertisement System for Individual Marketing
    (2018) Sumer, Ernie; Sumer, Selay Ilgaz; Ogul, Hasan
    To improve the performance of marketing efforts, marketers seek new ways of attracting customers. Individual marketing is an efficient way of communicating with individuals. Meeting the individual customers' expectations and needs is becoming increasingly important in modern marketing activities. Marketers have started to concentrate on specific customers' demands. The paradigm shift from the masses to individuals has required changes to firms' marketing strategies. In this paper, a new system called the Personalized Smart Billboard System (PSBS) is introduced, which personalizes promotional messages by developing customer profiles using customers' accessories and some of their facial features. Once any of these clues are detected, related advertisements are shown to the customers. The system was tested with various portrait photos with different visual appearances and promising results were obtained. We anticipate that this system will present a helpful means of establishing more effective communication between businesses and their customers.

| Başkent Üniversitesi | Kütüphane | Açık Bilim Politikası | Açık Erişim Politikası | Rehber |

DSpace software copyright © 2002-2025 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify