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AI-Powered Movie Recommendation System (25AI143)
The AI-Powered Movie Recommendation System maps user watchlists and review histories to curate tailored entertainment suggestions.
Why Build This System?
- Maximizes video streaming platform watch times
- Automates film discovery pathways
Key Features
- Genre profile preference clustering
- Collaborative behavior data filters
System Basics
The code evaluates user genre choices, rating histories, and item similarity matrices to predict and suggest highly relevant films.
Code Snippet:
# Simple watchlist preference check
liked_genres = ["action", "sci-fi"]
target_movie = "space action adventure"
print("Suggest:", any(g in target_movie for g in liked_genres))Learning Outcomes:
- Master text clustering and behavior filters
- Build data-driven content delivery backends