How Deezer Decides Which Tracks To PlayList?

Today, music platforms not only compete for users, but also compete for their attention among an ever-expanding library of songs. One such platform is Deezer, known for its carefully crafted playlists that cater to a wide range of musical tastes. But how exactly does Deezer decide which tracks make the list? Let’s dive into the music making process and uncover the algorithmic magic behind Deezer playlists.

At the heart of Deezer music curation is a sophisticated algorithm that combines data-driven insights with human experience. This merger allows the platform to strike a delicate balance between personalized recommendations and discovering new music. The first step in this process involves analyzing vast amounts of data, including user listening preferences, musical attributes, and metadata. By studying listening patterns, Deezer is able to decipher user preferences and get a complete picture of their musical tastes.

The next level of Deezer’s algorithmic approach involves considering the track’s popularity and relevance within its genre. Metrics such as the number of plays, the number of skips, and user engagement are taken into account when assessing the attractiveness of a track. However, Deezer goes beyond simple metrics of popularity and aims to showcase a variety of music. The platform prides itself on supporting emerging artists and their selection process actively considers the quality and uniqueness of a song, regardless of its commercial success.

While the data serves as a valuable guide, the human factor is still important to ensure the authenticity and artistry of Deezer playlists. The platform has a team of experienced music editors who have deep knowledge and passion for various genres. These editors create playlists based on their experience, personal taste, and industry experience. They sift through a vast library of tracks, considering elements such as mood, tempo, lyrical content and overall coherence to create playlists that resonate with listeners.

To strike a balance between personalization and discovery, Deezer also uses collaborative filtering techniques. By analyzing users’ listening habits, the platform identifies people with similar musical tastes and includes their preferences in playlist recommendations. This approach helps to expand the musical horizons of users, ensuring that their favorite genres and artists remain in the spotlight.

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Inclusion and diversity are vital factors in curating Deezer’s music. The platform actively seeks to represent different cultures, regions, and sub-genres through its playlists. This commitment to inclusion is reflected in the diversity of Deezer’s editorial team, whose members come from diverse backgrounds and bring multiple cultural perspectives to the curation process.

Transparency is paramount to Deezer and the platform is making a concerted effort to let users know about its music curation process. Through dedicated blog posts, interviews and artist profiles, Deezer seeks to demystify its algorithm and provide insight into the methodology behind its playlists. In addition, Deezer encourages user feedback and allows listeners to contribute to the creation of playlists by submitting tracks for review.

However, like any algorithmic system, Deezer’s music curation process has its limitations. While it strives to offer personalized recommendations, users may still encounter inconsistencies or omissions from time to time. The platform recognizes this and actively invests in improving its algorithm, constantly iterating and adapting to better serve its diverse user base.

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