How Pandora Radio Recommends Music To Its Listeners
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See the case scenario below. Respond to the 3 questions below. You need to write your case in APA style and include a reference page. You also need to include in-text citations in the body of your paper. The response to each question should be at least 1 page long and you support your key point with additional research.
CASE STUDY: DATA MINING TOOLS AT PANDORA RADIO
With more than 200 million registered users, Pandora Radio is a personalized Internet radio service that helps you find new music based on your past and current favorites. (The service is also available to mobile devices as an app.) The success of Pandora Radio’s business model derives from applying data-mining tools to the Music Genome Project, which is a vast database of songs that a team of experts has broken down into their various components: melody, rhythm, vocals, lyrics, and so on. Listeners begin by entering their favorite songs, artists, or genres, creating customized “stations.” Then, Pandora Radio mines its database to find songs that are similar. Another data-mining tool that Pandora uses is the like/dislike (thumbs up/thumbs down) option that accompanies each song the site suggests. These responses are also factored into which songs the Web site decides to play for the user.
How does Pandora Radio recommend music to its listeners?
How are the listeners of Pandora Radio able to create their customized stations?
What are some variables that Pandora Radio uses to recommend a song?
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