Clubs to employ an algorithm that finds great lesser-known DJs and performers based on their clubgoers' current music tastes. Thereby continuing to be their patrons' favorite venue.
A way for clubs to find and host lesser-known DJs/performers whom the local crowd will love.
A way for clubs to remain relevant and continue being the partygoers' favorite venue.
Lesser-known DJs/performers cost the club that employs them less money but still create a great time for the clubgoers.
Each week, clubs would ask their regular customers to nominate their top 3 favorite songs of the week. People will gladly do it because those choices will affect the type of music played in the club.
Youtube's music suggestion algorithm is one of the best for recommending new songs based on other songs that a person likes. The same algorithm can be used to compose a list of lesser-known DJs or performers that play similar music to what the clubgoers currently prefer. The club would then invite/hire those performers.
The club can come up with various motivating factors for people to keep updating their favorite songs week after week. Something like:
A potential of being named as a pioneer in the club's hall of fame as the first person to list a song that became the club's favorite for a while.
A discount for regular customers that is renewed on a weekly basis by updating the person's new favorite songs.
Average vs clusters of taste
This algorithm can try to find an average of all the music tastes of all of the club's patrons or it can cluster the tastes and organize special events catering to different groups.