Music Genome Project

http://dbpedia.org/resource/Music_Genome_Project

Le Music Genome Project a été conçu par Will Glaser et Tim Westergren fin 1999. rdf:langString
Il Music Genome Project (letteralmente Progetto Genoma della Musica) è un progetto. rdf:langString
Music Genome Project to stworzony w styczniu 2000 przez Tima Westergrena serwis mający na celu opisanie za pomocą ponad czterystu właściwości jak największą liczbę piosenek. Jest on aktualnie używany przez Pandorę w celu prowadzenia internetowego radia dla użytkowników według ich preferencji. Użytkownicy tworzą własne "stacje radiowe" poprzez wybór odpowiednich artystów lub piosenek. Pandora używa wtedy odpowiednich algorytmów w celu wybrania następnych piosenek o podobnych własnościach. rdf:langString
The Music Genome Project is an effort to "capture the essence of music at the most fundamental level" using various attributes to describe songs and mathematics to connect them together into an interactive map. The Music Genome Project covers five music genres: Pop/Rock, Hip-Hop/Electronica, Jazz, World Music, and Classical. rdf:langString
rdf:langString Music Genome Project
rdf:langString Music Genome Project
rdf:langString Music Genome Project
rdf:langString Music Genome Project
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rdf:langString The Music Genome Project is an effort to "capture the essence of music at the most fundamental level" using various attributes to describe songs and mathematics to connect them together into an interactive map. The Music Genome Project covers five music genres: Pop/Rock, Hip-Hop/Electronica, Jazz, World Music, and Classical. Any given song is represented by approximately 450 "genes" (analogous to trait-determining genes for organisms in the field of genetics). Each gene corresponds to a characteristic of the music, for example, gender of lead vocalist, prevalent use of groove, level of distortion on the electric guitar, type of background vocals, etc. Rock and pop songs have 150 genes, rap songs have 350, and jazz songs have approximately 400. Other genres of music, such as world and classical music, have 300–450 genes. The system depends on a sufficient number of genes to render useful results. Each gene is assigned a number between 0 and 5, in half-integer increments. The Music Genome Project's database is built using a methodology that includes the use of precisely defined terminology, a consistent frame of reference, redundant analysis, and ongoing quality control to ensure that data integrity remains reliably high. Given the vector of one or more songs, a list of other similar songs is constructed using what the company calls its "matching algorithm". Each song is analyzed by a musician in a process that takes 20 to 30 minutes per song. Ten percent of songs are analyzed by more than one musician to ensure conformity with the in-house standards and statistical reliability. The Music Genome Project was first conceived by Will Glaser in late 1999, and populated with musicological input from Tim Westergren in early 2000. In January 2000, they joined forces with Jon Kraft to found Savage Beast Technologies to bring their idea to market.The Music Genome Project was developed in its entirety by Pandora Media and remains the core technology used for Pandora Radio, its internet radio service. Although there was a time when the company licensed this technology for use by others, today it is limited for use only by its users.
rdf:langString Le Music Genome Project a été conçu par Will Glaser et Tim Westergren fin 1999.
rdf:langString Il Music Genome Project (letteralmente Progetto Genoma della Musica) è un progetto.
rdf:langString Music Genome Project to stworzony w styczniu 2000 przez Tima Westergrena serwis mający na celu opisanie za pomocą ponad czterystu właściwości jak największą liczbę piosenek. Jest on aktualnie używany przez Pandorę w celu prowadzenia internetowego radia dla użytkowników według ich preferencji. Użytkownicy tworzą własne "stacje radiowe" poprzez wybór odpowiednich artystów lub piosenek. Pandora używa wtedy odpowiednich algorytmów w celu wybrania następnych piosenek o podobnych własnościach.
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