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I think the point being missed here is that although knowing what people might like is indeed a marketers dream, most computer-generated recommendations systems
by twelvechairs 15y ago
I think the point being missed here is that although knowing what people might like is indeed a marketers dream, most computer-generated recommendations systems don't do a very good job at it.
Perhaps some people use recommendations like those at Amazon, but I think generally most people avoid them because (at least at present) the signal to noise ratio is ridiculously bad.
- drumdance 15y agoPandora works great for me. I rarely listen to my own library any more.
- tqs 15y agoPandora's recommendation system is not based on a social graph, nor is it particularly "computer generated" compared to most other automated recommendation systems. It's based on the Music Genome Project. For over 8 years, they've been having highly trained musicologists listen to each song individually, then manually categorize them on ~400 attributes (e.g. is it syncopated? major or minor key? does it have vocal harmonies? etc). Pandora uses this data to find similar songs to the ones you like. You'd think it wouldn't scale but Pandora seems to be doing it. "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. Pandora does not use machine-listening or other forms of automated data extraction." http://www.pandora.com/about/mgp http://www.pandora.com/about/mgp