DATA_SCIENCE_PROJECT
Python
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Movie Recommendation System
Movie Recommendation System
Recommends movies to users based on their viewing history and preferences using collaborative filtering.
Key Features
- Collaborative Filtering: User-based and Item-based recommendation.
- Content-Based Filtering: Recommends based on genre and tags.
- Search: Find movies by title.
- Rating Interface: Users can rate movies to improve suggestions.
Technology Stack
- Language: Python
- Algorithm: SVD (Matrix Factorization) / Cosine Similarity
- Dataset: MovieLens
Installation
- Download the dataset.
- Run the recommendation engine script.
Project Description
Movie Recommendation System
Recommends movies to users based on their viewing history and preferences using collaborative filtering.
Key Features
- Collaborative Filtering: User-based and Item-based recommendation.
- Content-Based Filtering: Recommends based on genre and tags.
- Search: Find movies by title.
- Rating Interface: Users can rate movies to improve suggestions.
Technology Stack
- Language: Python
- Algorithm: SVD (Matrix Factorization) / Cosine Similarity
- Dataset: MovieLens
Installation
- Download the dataset.
- Run the recommendation engine script.
Technologies Used
Python
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