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January 15, 2006 · 05:13 PM
Musicstrands
DLD-Speaker Andreas Weigend who served as Amazon's Chief Scientist until 2004 wants to revolutionize the music industry with "Musicstrands". German Magazine WirtschaftsWoche (Issue 1-2/2006) reports on the Spanish-American company that adopts the idea from the online bookseller Amazon. "Hits arise bottom-up", explains the 46-year old professor for Data-Mining and e-Business at the Stanford University who is involved in "Musicstrands".
The online platform guesses from each user which music he prefers and filters appropriate songs and an individual hitlist. Unknown artists who are not signed to any label could become popular.
"Musicstrands" is now also offered in German, websites for the Asian market are planned. Weigend believes that the taste of music of each user can be detected by data mining and therefore it can be predicted which songs are favoured. The company does not offer any downloads but generates sales volume with links to music shops or other legal music suppliers who pay for originated sales. What do you think - what kind of music offers and distribution concepts could help the struggled music industry? See full article (German) here.