Recommender Systems Complete Course Beginner to Advanced - Motivation for Recommender System: Generations of Recommender

The video tutorial discusses the evolution of recommender systems across three generations. The first generation includes knowledge-based, content-based, and collaborative filtering systems, as well as hybrid systems. The second generation introduces matrix factorization, web usage mining, and personality-based systems. The third generation focuses on deep learning, product-based systems, and advanced collaborative filtering techniques. The tutorial also highlights the significance of recommender systems in the context of artificial intelligence.

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