Netflix Content Recommender
تفاصيل العمل
A content-based recommendation system built on Netflix's catalog of 8,790 titles. Using TF-IDF vectorization and cosine similarity, it analyzes each title's genres, director, country, type, and rating to surface the most similar content. Simply provide any movie or TV show name and get ranked recommendations with match scores — no user history or ratings required.
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