We have developed a recommendation system based on our deep metadata and the largest multimedia content database. The recommendation system can also work with big data, which is useful for a "cold" subscriber.
Peculiar properties:
Peculiar properties:
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Predictive estimate:
- Accurate prediction, forecast 8.68 - Binary tag, like/dislike - Subjective assessments - Explanation of forecast
Info about the user: - Users with similar tastes - Consumption statistics - Favorite genres/year/countries - Distribution of ratings - Portrait of the user by taste factors |
Ratings: - Best/Worst/Popular - Everyone beloved/Ambiguous - Male / female - For any audience segments - Metadata ratings - Ratings of the relevance
Content info: - Statistics on the object - Distribution of ratings - Gender preferences - Age audience - Similarity to other objects - Assessment of the availability of content |
