Music Recommender System
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Updated
Jul 22, 2022 - Jupyter Notebook
Music Recommender System
Music recommender system radio javan
This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.
Small app making use of spotify's API to browse and play music.
A comprehensive song recommender system. Features include scraping Billboard Hot 100, processing the Million Song Subset, clustering with KMeans/DBScan, and a Streamlit app for generating music recommendations.
Simple recommendation system using the Spotify API to get the features and analysis of tracks
This is a basic music recommender I made for my Final Project.
A Mood-Based Music Recommender that utilizes existing technologies like facial analysis and emoji-based quiz in a way that makes it fun and engaging for the users to interact with the application and enhance their overall experience when searching for music to listen to on Spotify.
Creating a recommender system that will recommend new musical artists to a user based on their listening history. Suggesting different songs or musical artists to a user is important to many music streaming services, such as Pandora and Spotify. In addition, this type of recommender system could also be used as a means of suggesting TV shows or …
Music recommendation using neural network
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