Welcome to MIAS Documentation

MIAS is a Spotify song recommendation system designed to help artists expand their performance playlist by finding similar songs that match their essential acoustic features.

The following links provide access to the hosted MIAS service and source code:

• MIAS Application: https://mias-recommender-sys.streamlit.app/
• GitHub Repository: https://github.com/trav-d13/MIAS
• Kaggle Dataset: https://www.kaggle.com/datasets/travisdaws/spotify-tracks-acoustic-features

This project encourages collaboration!

Whether you are new to recommender systems or a pro. The project embraced a modular design so that you can test out your own data pipelines and similarity metrics in a way where you can easily see and deploy your results

MIAS Documentation

This section provides access to the extensive documentation underlying the MIAS project.

Recommender System Processes

• Data Processing

• Similarity Interface

• Cosine Similarity

• Pipeline interface

• Cosine Pipeline

Application UI

• Recommender

• Dataset