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.
Content Recommendation
Content Recommendation refers to the process of suggesting relevant videos or content to users based on behavior, preferences, and contextual signals in OTT platforms.
What is Content Recommendation?
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.
How content recommendation works
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.
Types of content recommendations
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.”
Why content recommendation matters in OTT
Effective recommendations increase content discovery, reduce churn, improve session duration, and help users quickly find relevant content in large catalogs.
Content recommendation in OTT ecosystems
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.
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