Recommender Systems with Machine Learning - Guidelines for ML

The video tutorial covers machine learning-based recommender systems, focusing on different strategies and approaches. It highlights the importance of understanding the business scenario, target audience, and product range when developing models. User-driven strategies emphasize the customer journey and preferences, while page context-driven strategies focus on product popularity and similarities. The tutorial also discusses ready-made solutions like IBM Watson for real-time personalization, aiming to enhance recommender systems.

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