Anime Recommendation Engine
The purpose of this project is to implement different recommendation algorithms and integrate them in a web app.
First, you need to navigate to the following datasets:
- dataset And download the files
- Save the datasets in a directory named
datasetsin the root directory
- Now run the scripts
- Execute the
init_db_docker.shfile. Uncomment the first lines if you don't have the necessary docker images
- At this point, you can execute
sbt run, which will trigger
npm run start
- Finally, enter the sbt console and run
util.RecommendationModel, which will save the ALS model.
This software is licensed under the MIT license