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Video Neuroadvertising Recommender System

Author

Listed:
  • Arturas Kaklauskas
  • Ieva Ubarte
  • Matas Kozlovas
  • Justas Cerkauskas
  • Dainius Raupys
  • Irene Lill
  • Raido Puust

Abstract

Neuromarketing systems are gaining increasing popularity during the last years. The Video Neuroadvertising Recommender System (ViNeRS) addresses the following problem: improving the efficiency of video ads by integrating biometric, physiological, affective computing, statistical analysis (LOGIT, KNN, MBP, RBP), decision support, recommender, big data and text analytics, categorical, spatial and personalised affective content analysis and self-analysis methods, as well as five multiple criteria analysis methods developed by the applicants (hereinafter referred to as research methods). ViNeRS will include two main subsystems. ViNeRS1, an analysis and assessment subsystem for the impact of online ads (unfinished ad content), will assess the efficiency of ads at each stage of their creation, determine their advantages and disadvantages, and improve them until the most catchy version is achieved. The subsystem 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. ViNeRS2, an intuitive online ad serving subsystem (finished ad content), will offer integrated measurements of neurobiological viewer response and real-time selection of the most efficient ad version.

Suggested Citation

  • Arturas Kaklauskas & Ieva Ubarte & Matas Kozlovas & Justas Cerkauskas & Dainius Raupys & Irene Lill & Raido Puust, 2020. "Video Neuroadvertising Recommender System," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 14(1), pages 1-9.
    • Handle: RePEc:isp:journl:v:14:y:2020:i:1:p:1-9
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    References listed on IDEAS

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    • A - General Economics and Teaching

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