Recommendations that work
Personalization based on EPG Service metadata. More engagement.
The Problem
Recommendations don't work without quality metadata and content links.
How it works
ML models based on full metadata
Content IDs for content links
Viewer personalization
API for integration
Benefits
Engagement
Viewers find interesting content
Retention
Lower churn
Data
Based on real metadata
API
Easy integration
More for operators
Schedules for 4308 channels. Completeness, accuracy, real-time updates.
Genres, cast, studios, ratings, posters, stills.
All platforms speak one language. Recommendations work, reruns don't duplicate, TV and VOD are linked.
Every program start within ±3 sec accuracy. Catch-up opens right from the first frame.
Restricted content markers. Shared risk and responsibility.
Channel broadcast geography. Which channel is available in which region.
Logos, descriptions, contacts, website, social media, broadcast language.
Sport type, championship, teams, persons + posters.
OpenAPI 3.0, JSON, clear endpoints.
Full schedule by actual broadcast, not planned.
100% episodes filled. Better viewer experience, catch-up without duplicates, accurate recommendations.
Ad breaks and promos marked. For skip features.
Mapping linear TV and VOD catalog. Unified content space for recommendations.
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