GNOD is a site that provides recommendations for music, art, literature and products based on collaborative filtering algorithms. Their flagship product is the music recommender, which you can try at www.gnoosic.com. The site asks users to input 3 bands they like, and computes similarity scores with the rest of the users. Then, they recommend to the user bands that users with similar tastes have picked.
Gnod is a small company, and its only revenue stream so far are adds in the site. In the future, they would like to explore partnership options with music apps (such as Deezer, Soundcloud or even Apple Music and Spotify). But for that to be possible, they need to expand and improve their recommendations.
That’s precisely where you come. They have hired you as a Data Analyst, and they expect you to bring a mix of technical expertise and business mindset to the table.
As a DA have to come up with a way to build an app which can recommend songs and not only bands
Group Project To build a song recommender Group project to build a song recommender that takes input from the user and returns five songs from the database.
Create a song recommender that takes the input from the user and, based on an internal database, returns five similar songs. Learn to scrape information from websites Apply and compare different clustering methods Prepare a marketing presentation applying storytelling tecniques.
User inputs a song name and artist if known Suggest user with 5 options User selects the song OR ask for another recommendation
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent