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Video Recommendation

Video Recommendation

Bianor applies advance tools for easy video content discovery.

Our solutions collect data from multiple sources to build a complete user profile.

Sources include:

  • demographics data and personal interests
  • explicit choice of interests during onboarding process
  • behavioral data points like watched type of content (news, movies, series, clips, live events, etc.)
  • what videos are watched from which genres
  • etc.

The collected data then is used as input for building personal recommendations lists organized by: topics, genres, what other users watched, etc.

We employ machine-learning algorithms and techniques like: collaboration filtering, content and users’ similarity.


Professional services from experts with years of experience


Important part of the process


Senior experts with long experience


Unique designers and UI experts


Professional consultancy when the project is live