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metadata
title: Movie Recommender System
emoji: 🎥
colorFrom: purple
colorTo: blue
sdk: streamlit
sdk_version: 1.17.0
app_file: app.py
license: apache-2.0
Movie Recommender System
A movie recommendation system, or a movie recommender system, is an ML-based approach to filter or predict the users’ film preferences using techinques like :
- popularity-based
- content-based
- collabrative filtering
In this, project I have used content-based filtering to fiter movies with similar tags (concatenated strings of story, gernre, and title column)
Links :
Hugging Face Space Link : Click Me
Kaggle Dataset (Bollywood) : Click Me
Kaggle Dataset (Hollywood) : Click Me
After you click on the HF link you'll see two buttons,
"Recommend" Button : Recommends 5 similar movies from the same country as of movie.
"🌍" Button : Recommends 10 similar movies from the world.
Step 1:
Step 2:
Step 3:
