Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Guidelines for ML

The video tutorial discusses machine learning-based recommender systems, focusing on various approaches and strategies. It highlights the importance of understanding business scenarios, target audiences, and product ranges. User-driven strategies emphasize the customer journey and behavior, while page context-driven strategies focus on product popularity and related products. The tutorial also explores ready-made solutions like Adobe Target and IBM Watson. Finally, it introduces design strategies for developing effective recommender systems.

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