An Artificial Intelligence Enabled Data Analytics Platform for Digital Advertisement

To offer the most suitable product to the end-users in digital marketing, end-user behaviour needs to be observed in real time while browsing through websites. This enables to profile and define the end-user behaviour with more accurate success rates. However, this analysis requires the development of special methods for processing large data. Within the scope of this demo, we demonstrate a big data analytics platform to increase the effectiveness of digital advertising. During experiments, we demonstrate via the dashboard interface the successful mappings of end-user's various features including URL-category report (Cookie ID - Subscriber ID, URLs-Classified Interactive Advertising Bureau (IAB) category) analysis, non-functional resorts (end-user behaviour report, category score report, device usage report), the most visited websites and new category labeling for classification purposes.