Content-based Filtering VS Collaborative Filtering: A Netflix Showdown
When it comes to AI-driven content recommendations on Netflix, two dominant approaches face off: content-based filtering and collaborative filtering. Content-based filtering relies on the attributes and metadata associated with a piece of content (e.g., genre, director, cast, ratings, and reviews) to generate personalized suggestions. For instance, if you've enjoyed the sci-fi movie "Inception," Netflix's content-based filtering might recommend other movies with similar themes, directors, or actors.
On the other hand, collaborative filtering leverages the collective behavior of users with similar viewing habits to predict your preferences. This approach assumes that if many users with similar tastes have enjoyed a particular movie, you're likely to appreciate it as well. Collaborative filtering is the primary driving force behind Netflix's "Recommended for you" section, where you'll often find titles that h...
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