The algorithm of Spotify It stands out for how successful its musical recommendations are on many occasions, which are mainly found through the Weekly Discovery lists or the Daily Mixes.
Discovery options are not limited to just these two options, as there are more instances that allow the same, such as thematic stations or recommendations for adding new titles to playlists. However, the leading role is usually taken by the Weekly Discovery, with recommendations that are lost after a week.
Previously, we reviewed a tool that allowed the Spotify Weekly Discovery list to be archived every seven days, thus avoiding, in the face of content renewal, overlooking an interesting recommendation that was not heard.
The utility we recommend now offers the opportunity to speed up the recommendations of this playlist to a daily frequency. The same dynamics of the Weekly Discovery, but updated every 24 hours.
This is Discoverify, a tool for Open Source which, using the benefits of Spotify’s recommendations algorithm, emulates the process of making the aforementioned discovery playlist, but to generate another list in parallel, updated daily.
The activation process is simple. Simply access the website of Discoverify and press the “Login With Spotify” button. After doing so, Spotify will request authorization so that the app can work with your account (without discriminating between the Premium subscription or the free plan) and thereby generate this new automatic playlist.
How is it possible to speed up Spotify Weekly Discovery with daily updates?
Discoverify works thanks to Spotify’s recommendation algorithm, which you have access to through its API. This is the same system that generates the original Weekly Discovery of your account, plus the stations and all those special playlists, created based on your listening habits.
The methods used by this recommendation mechanism are various. On the one hand, the platform analyzes at a macro level (big data), listening patterns among all its users, in order to, based on that, recommend topics that others listen to. For example, if you listen to music by artists “A” and “B” often and among the majority of their listeners, artist “C” is also usually heard, most likely it will end up among your recommendations.
Also, Spotify uses technical information, at the audio level, to make its recommendations. In addition to looking at the metadata of the songs you listen to, its algorithm is capable of analyzing aspects such as its tempo, key and volume, to add songs related to your preferences to its recommendations.
In itself, the Weekly Discovery is nothing more than a selection of recommendations inspired by the artists you listen to and follow, but with a filter that chooses only songs that you have not heard before, at least from this platform.
The dynamics behind Discoverify rescues all this, but with a rhythm of updates that could be to the liking of those inveterate music lovers who spend an important part of their days with Spotify music.
You can access this application from discoverifymusic.com.