Recommendations based on TV metadata
Viewer watched on TV → recommend in streaming. Cross-platform personalization.
Service scope and specifications
- Name
- AI Recommendations
- Purpose
- Персонализированные рекомендации контента на основе метаданных EPG.
- Scope
- Рекомендательные модели; интеграция с каталогом и EPG клиента.
- Target audience
- Стриминговые сервисы и онлайн-кинотеатры.
- Technical specs
- REST API; ML-модели на метаданных.
- Pricing
- Скоро в продаже.
- Delivery
- SaaS / API access under a services agreement.
The Problem
Recommendation systems don't know what viewer watches on TV. Personalization incomplete.
How it works
Cross-platform viewing data
ML based on full metadata
Content IDs for deduplication
API for integration
Benefits
Cross-platform
TV + streaming = complete picture
Retention
Accurate recommendations retain
Discovery
Viewers discover new content
ML ready
Data ready for your models
More for streaming
Schedules for 4K 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.
Content compliance with legislation. 6 risk categories, registry monitoring, age rating. Shared responsibility.
Every program start within ±3 sec accuracy. Catch-up opens right from the first frame.
Metadata + images already collected. Rights holders upload — you receive.
Stylized posters for sports broadcasts: team logos, tournament emblems, athlete portraits.
OpenAPI 3.0, JSON, clear endpoints.
Logos, descriptions, contacts, website, social media, broadcast language.
Channel broadcast geography. Which channel is available in which region.
Sport type, championship, teams, persons + posters.
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.
Rights holders upload data themselves. Single format, no manual work.
Ready to connect AI Recommendations?
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