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Recommendation Engine for an OTT Platform

By April 22, 2024No Comments
Recommendation Engine for an OTT Platform


The vast content libraries in an OTT platform pose a challenge for users to discover relevant and personalized content, leading to potential user dissatisfaction, lower engagement, and decreased platform loyalty. The client faced a critical challenge in enhancing user experience by improving content discovery on their OTT platform.


  • Deployed an advanced recommendation system leveraging extensive user data, including viewing history, preferences, and feedback.
  • Utilized hybrid recommendation algorithms, combining collaborative filtering and content-based techniques.
  • Conducted thorough model refinement and implemented a real-time engine to adapt to evolving user preferences.


  • Significant increase in user engagement metrics.
  • Substantial rise in user satisfaction and retention.
  • Decreased churn rate and increased revenue through higher consumption.

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