OwlyPhonics is a web application, which, thanks to data grabbed on different social networks, give specific recommendations on music platforms.
Nowadays, there are many musical platforms, which provide a lot of information. Websites such as Youtube, Deezer… allow to discover some songs or artists linked to the one we are listening. No matter who is listening to this, the purposed sons/artists are the same. Owlyphonics goal is to personalize those recommendations to a specific user taking into account his interests.
We created a web application, which, thanks to data grabbed on different social networks, give specific recommendations. We chose to connect the user to Facebook, LastFM and Foursquare to establish user’s profiles. The connection is available via our website. The user can select the social network he wants and he can link kit to his profile. A user‐friendly interface is presented to see which information are stocked for our search and allow to easily update them. The search can be launched with only one click to find new artists. This request can also be set to select a specific period of the day because we think people don’t listen to the same music all day long.
Since January 2012, Spotify launched its own application store. We decided to take this opportunity to increase our visibility. Our application is still a beta version and we are waiting for Spotify’s validation.
What could be done next about this project is to create place’s profiles. This way, our application could allow us to really take into account the Foursquare’s data and place’s concerned could also discover what kind of people are visiting them. This could lead to a place recommendation.