Pandora’s Music Recommender
نویسنده
چکیده
One of the great promises of the internet and Web 2.0 is the opportunity to expose people to new types of content. Companies like Amazon and Netflix provide customers with ideas for new items to purchase based on current or previous selections. For instance, someone who rented “Star Wars” at Netflix might be presented with “The Matrix” as another movie to rent. The challenge in this strategy is to make suggestions in a reasonable amount of time that the user will mostly like based on the known list of what the user already enjoys. People will only pay attention to the recommendations of a service a finite number of times before they lose trust. Repeatedly suggest content that the user hates and the user will look for new content elsewhere. Also, a user will only pay attention to a service’s recommendation if they arrive in a reasonable amount of time. Make the user wait longer than they are willing and they will again turn elsewhere for content suggestions. Accuracy and speed are critical to a service’s success. Pandora exposes people to music with an online radio station where a user builds up “stations” based on musical interests. The user indicates in each station one or more songs or artists that he or she likes. Based on these preferences Pandora plays similar songs that the user might also like. As Pandora plays the user can further refine the station by giving a “thumbs up” or a “thumbs down” to a particular song. A “thumbs up” means the user likes what he or she hears and wants to hear more music that is similar. A “thumbs down” means the user never wants to hear this particular song again and is not interested in similar types of music. With every bit of this information about the user’s interest Pandora hopes to improve the user’s trust in their ability to play music the user likes and to makes these recommendations in a reasonable time frame. Beyond these goals Pandora also aims to recommend music that the user might have not otherwise heard because it is not well known by a large community of people.
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