(Please see wiki for detailed information.)
Testing how good the Movie Recommender is :
- Pick 10-15 very famous movies.
- Make sure the movies have diversity based on genre, cast, and production style.
- Show users a set of the top 5 movies recommended by the Movie Recommender.
- Let the user give a rating out of 5 and write comments about the movie.
- Collect the ratings and improve the collaborative filtering model to give better predictions to other users.
- Perform Sentiment analysis on the comments written by the user and determine whether the comment is positive, critical, or neutral.
Note: Our system can be virtually uploaded to sites like Code SandBox, for easier testing.
| Python | Flask | HTML | CSS | Javascript |
pitch.mp4
working.mp4
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Python 3.9 + Install Python On Your System
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Setup a Virtual Environment in Python Setup Virtualenv
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Activate Virtualenv
- Linux / Unix
source env/bin/activate- Windows
venv\Scripts\activate
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Style check - black
pip install black
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Install Static Code Analyser Pylance in your Favourite IDE/ Text Editor (Optional)
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Install all required Python packages
pip install -r requirements.txt
cd Code/recommenderapp
python3 app.pyRefer to the Wiki page here
Raise a issue on this repository, we would love to look at it ❤️Please refer to the Contributing.md if you want to contrbute to the Movie Recommender source code. Follow all the guidelines mentioned and raise a pull request for the developers to review before the code goes to the main source code.
Raise an issue on this repository, we would love to look at it ❤️