Content Recommendation Engine

The primary challenge was the 'cold start' problem—how to recommend new content to new users without enough historical data. Existing algorithms relied too heavily on simple collaborative filtering, which often suggested the same blockbuster titles to everyone, ignoring the unique interests of smaller user segments.

Furthermore, the system couldn't handle real-time context, such as the time of day or the device being used, which are critical factors in streaming behavior.