NikosMav/DataAnalysis-Netflix
A notebook for movie and TV show recommendations using Boolean and TF-IDF methods. Get personalized suggestions based on text descriptions and choose the method that suits your preferences.
This tool helps you discover new movies and TV shows by suggesting titles similar to ones you already enjoy. You input the text descriptions of movies or shows you like, and it outputs a list of personalized recommendations. Anyone who wants to find new entertainment based on their viewing preferences would find this useful.
No commits in the last 6 months.
Use this if you want to quickly generate movie and TV show recommendations based on existing descriptions, without needing to watch trailers or read full reviews.
Not ideal if you're looking for a streaming service's built-in recommendation engine, or if you need recommendations based on factors beyond text descriptions, like cast, genre categories, or user ratings.
Stars
7
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 05, 2023
Commits (30d)
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