Issue:
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.
Solution:
- 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.
Impact:
- Significant increase in user engagement metrics.
- Substantial rise in user satisfaction and retention.
- Decreased churn rate and increased revenue through higher consumption.
