Decoding Recommendation Systems – Collaborative vs Content Based Filtering (6 Minutes) [Video]

Decoding Recommendation Systems is essential for anyone looking to understand how platforms suggest content, products, or services. In this video, we dive into the two primary types of filtering: Collaborative and Content Based Filtering. We explain how each method works, their advantages and disadvantages, and real-world applications in popular platforms like Netflix and Amazon. Whether you’re a tech enthusiast, a data scientist, or just curious about how recommendations are made, this video will provide you with valuable insights. Don’t forget to like, share, and subscribe for more informative content on technology and data science!

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