Today, with the rise of streaming platforms like TikTok Music, custom playlists are increasingly in vogue. They are a reflection of our music tastes and preferences, and more and more users are looking to understandwhat criteria are used to select songs from your custom playlists.
Music Recommendation Algorithms
Streaming services use mathematical algorithms that analyze your behavior in the application. They take into account the songs you listen to frequently, the ones you add to your playlists, the ones you 'like' and even the ones you skip. From this data, the algorithm can find patterns and suggest new songs that are aligned with your tastes.
Track Metadata Analysis
Another important aspect is the analysis of song metadata, such as genre, artist, album and popularity. This metadata helps the algorithm to categorize and suggest songs that are within a certain spectrum of user preference.
User feedback
Your feedback is essential to refine playlist choices. When you rate a song that is 'liked' or 'didn', you are directly influencing the algorithm so that it better understands your preferences.
Context and Time of Day
Some streaming services go further and even consider the context and time of day to offer recommendations. Therefore, a song you prefer to listen to in order to relax in the evening may be different from the one you choose to liven up your morning workout.
Discover new songs with TikTok Music
When it comes to discovering new tracks that match your taste, theTikTok Musicis a platform that is gaining prominence. With its innovative algorithm, TikTok Music suggests tracks that not only meet your criteria, but also bring a dash of novelty to your musical experience.
Conclusion
The criteria used to put together your custom playlist are a complex mix of algorithms, data analysis and user feedback. By better understanding these criteria, you can optimize your experience on streaming platforms and, who knows, find your next favorite song on TikTok Music.
