A deep neural network extracts brand features from live video frames to quantify screen time and display frequency metrics.
A programmatic advertising system generates temporary identification cookies from personal devices to serve targeted ads on non-personal hardware.
A content management system automatically tags user-generated media using object detection sensors and scanners.
An ad server system tracks interactive software components to calculate aggregate values for precise advertising fee charging.
Platform translates user locations into intent indicators, resolving precision trade-offs in real-time mobile ad targeting.
Segmenting user interactions into distinct phases improves measurement precision beyond click-through rates, enabling accurate quality assessments.
A target user directing method combines similarity assessment with conversion probability prediction to enhance selection accuracy.
Computerized system applies reversible encoding to specific media file segments for secure content protection.
A server-based system converts proprietary subscriber data formats into standardized structures for third-party content targeting.
A native content handler intercepts URLs to determine eligibility for sponsored data services on user devices.
Derives targeting metrics from user images via local processing to resolve the contradiction between high precision and privacy risk.
A content caching system pre-loads digital components into a local cache when a predefined network state is detected.
A configurable feed system retrieves and displays relevant content extensions directly within publisher web pages.
Control client displays companion ads alongside video playback, enabling user interaction without interrupting media continuity.
Polygon mapping tags contextual information on source flyer images, while image tiling loads content incrementally to reduce browsing latency.