‘Personalized DJ’ Matches Song Choices To Users’ Moods

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‘Personalized DJ’ Matches Song Choices To Users’ Moods

 

No, this is not an episode of Black Mirror. It’s true! People have used machine learning to match the music you play to the current state of your mind. This is great news for people who love listening to music every day but have a hard time choosing the right song to match their mood. 

Science Daily, a website that provides health and science research articles, reported in their article that the invention was made by researchers from the University of Texas. Based on their research, by using machine learning, the public's music listening experience can be placed on a whole new level. 

 

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Maytal Saar-Tsechansky, a professor of Information, Risk and Operations Management at the McCombs School of Business, worked with researchers from the University of Texas to create a ‘personalized DJ’, which they discuss in their latest paper titled, “The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling.” The researchers explained that the project can maximize listeners' time since the machine can choose the appropriate songs for their day. 

The songs are said to be tailored to the changing moods of the listener. First, the listener has to rate a song, then the program will heed the rating when choosing the next song. The machine learning program adapts to the mood of the listener and considers the songs that they might enjoy. Songs are also organized intelligently instead of sequencing them randomly.

 

Photo Credit: Shutterstock

 

Machine learning algorithms can be adapted to other media. The algorithms themselves don’t have taste, instead, they contain data used to suggest content to the users. The machine learning allows for tens of thousands of possible data sequences as it predicts the song that the listener might want to try. 

“It can work in any case where you’re recommending things to humans, experienced in a sequence,” Saar-Tsechansky explained. 

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