Skip to content

Discover New Music: Algorithms Or Your Friends’ Suggestions?

Where do you discover new music? Maybe you heard from a friend about a new band or discovered new music through services like Pandora. Traditionally, the record labels were the. Continue reading [https://www.hypebot.com/hypebot/2011/06/discovering-new-music-algorithms-or-friends-suggestions.html]

Media_httpblogsimages_pEyrr.jpg.scaled500

Where do you discover new music?

Maybe  you heard from a friend about a new band or discovered new music  through services like Pandora. Traditionally, the record labels were the  ones that dictated what music was cool or popular and who would become  music superstars. Major labels  still hold some of that power, but the power has been slowly fading.  There are individuals that can set trends and artists with legions of  fans (ie. Lady Gaga and her little monsters), but have you ever wondered  if there was a certain person or group that connected all your fans  together?



If  you are moderately successful in music, there must be someone or some  people that first started spreading and sharing your music to others and  helped you build up your fan base. In The Tipping Point, Malcolm  Gladwell talked about how certain people called Mavens, Connectors, or  Salesmen can help an idea spread and become popular. These people are  helping you by recommending your music to others. But,  where did your fans hear about you? Is there a certain fan that is  promoting you and telling all of his/her friends about your music? Is  this fan a Connector?

If  you are an artist that is looking to build your fan base, you can  benefit from finding that Connector. At your next performance or  ustream, you can ask where people first heard your music. It could be that other  companies or music services like Pandora are spreading your music.

Lately,  companies like Google and Facebook are utilizing the  power of recommendations from friends or people like you. Google Places recently added a feature to their place rating service that identifies  people whose tastes overlap with yours to help you discover new places.

Now, Bing has released a feature that will show Facebook likes on  search page results.


Tech companies are bringing personalization onto  the web in full force. Do you think that Pandora's use of algorithms can suggest better music than your friends' recommendations?

Hypebot contributor Natalie Cheng (@ncswim881) is the Music Think Tank Community Manager. She is also a cellist and is working toward becoming a music marketer. (http://flavors.me/nataliecheng88)