Enveu Media & OTT Glossary
A practical knowledge base for OTT platforms, streaming tech, monetization, playback, analytics, DRM, FAST, and media operations. Use A–Z to browse or search to jump to a term.
A practical knowledge base for OTT platforms, streaming tech, monetization, playback, analytics, DRM, FAST, and media operations. Use A–Z to browse or search to jump to a term.
Content Recommendation refers to the process of suggesting relevant videos or content to users based on behavior, preferences, and contextual signals in OTT platforms.
Content Recommendation is the capability of an OTT platform to automatically suggest videos, shows, or playlists that are most relevant to each user based on data-driven insights.
Recommendation systems analyze user behavior such as watch history, clicks, search activity, and engagement patterns. These signals are combined with content metadata and popularity trends to generate personalized suggestions.
OTT platforms commonly use a mix of personalized recommendations, trending content, editorial curation, and context-based suggestions such as “Continue Watching” or “Because You Watched.”
Effective recommendations increase content discovery, reduce churn, improve session duration, and help users quickly find relevant content in large catalogs.
Modern OTT platforms integrate recommendation engines with analytics, user profiles, and metadata systems to deliver consistent recommendations across mobile apps, web, Smart TVs, and connected devices.