Recommender Systems with Machine Learning - Fundamentals of Recommender Systems

The video tutorial covers the taxonomy of recommender systems, item context, and user rating matrix. It discusses the quality of recommender systems and evaluation techniques. The tutorial explains content-based and collaborative filtering, including user-based, item-based, and model-based approaches. It introduces machine learning-based recommender systems using Python, focusing on data preparation and insight collection. The course concludes with a discussion on projects.

Describe the steps involved in building a machine learning-based recommender system.

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What methodologies are used in collaborative filtering-based recommender systems?

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