During the interview we cover several interesting topics:
- The evolution of recommendation systems.
- Best recommendation engine available online (not saying the best is Recommenders 🤓).
- Best recommendation engine in streaming platforms.
- User privacy when collecting data for recommendations.
- Filter bubbles in recommendation systems.
- Importance of business rules in recommendation system.
- Removing noise in recommendations.
- Advancements in algorithms and effectiveness in training.
- Implementation procedures for a large-scale recommendation system.
- Consequences & Responsible AI design for recommendation systems.
- Future of recommendation systems.