Recommender Systems Complete Course Beginner to Advanced - Motivation for Recommender System: Introduction to Recommende

The video tutorial discusses the history and evolution of recommender systems, which emerged in the 1990s and gained prominence due to applications like Amazon and Netflix. It explains the paradigm shift driven by e-commerce and online advertisements. The tutorial details how these systems function by predicting user interests to provide personalized recommendations, enhancing user experience and boosting sales. It highlights the importance of personalization and how it improves user engagement, making platforms more desirable and addictive. The tutorial concludes with a focus on the main agenda of recommender systems, which is to increase user time spent on platforms.

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