Musicovery B2B helps you create the most attractive music listening experience to your customers.
SmartPlay, the most relevant playlist engine available on the market, a Musicovery technology, can generate any kind of radios/playlists: from a mood, a song, an artist, a subgenre, a theme, listeners music preferences,...
On top of the playlist and the streaming of the tracks, we can help you design innovative UI and existing music experiences.
Today’s recommendation engines don’t take into account the diversity of listening contexts and the diversity of their audiences, and generate playlists which fall short in terms of their audience’s expectations.
SmartPlay™ is a powerful recommendation engine, which determines for each song, a very close similarity to a host of other songs, according to a number of criteria (musicological, semantic and behavioral).
Recommendations are very relevant and the engine is customizable to listeners profile, situations and listening history. The list of similar songs can be set according to different types of similarity (more or less context versus genre), and level of popularity (from very popular to very unknown artists/songs). Read SmartPlay presentation.
An API to generate most relevant playlists and recommendations personalized in real time.
Musicovery API provides music recommendations and playlists of all types : from a mood, an artist, a track, a genre/style, a theme, a period/year, a location (city, region, country, continent), a user.
Most music services rely on user interfaces that display lists of textual results. Musicovery can help you provide to your listeners exciting music listeners experience and innovative user interface.
Play your friends favorite songs
Grasp the music universe of your friends in the twinkling of an eye: favorite songs are grouped by genre and each genre is sized according to the number of favorite songs belonging to this genre. The widget is also a player, and you can play the favorite songs of your friend for the genres you believe he is good at selecting good songs.
Instead of measuring the popularity of songs (the number of listeners who liked a song), we looked at measuring the consensus of listeners preferences (ratio number of people who liked / who disliked a song). It gives a totally different picture !
Virtual remote control
The objective is to create a virtual remote control with the most efficient selection functionalities (mood, genres/decades, popularity/discovery) and include it in a visual experience that is so esthetical that you can display it on the TV screen in your reception room.