I agree. It's very difficult to estimate someones taste.
For example I like a hardcore band but only because they are different from all other hardcore bands. Most programs will estimate I like hardcore but that isn't the case.
I'm not sure but I think I like the music I like because they have this special 'mood' that fits me. And the lyrics are also important for me. Question is: how can we turn this into meta data suitable for matching.
Interesting question ohwp. I do think that recommendation systems are only going to get better. Lyrics and sentimental analysis are definitely going to play a part in that.
One of the main reasons we built Soundwave though was to take a more human based approach to music discovery. Personally, I'd take three friends who have similar hardcore tastes than me over any system (currently built) because I too was annoyed at how poor the recommendations were. Our app will hopefully reduce the friction in finding those people with similar tastes.
Comments
I agree. It's very difficult to estimate someones taste.
For example I like a hardcore band but only because they are different from all other hardcore bands. Most programs will estimate I like hardcore but that isn't the case.
I'm not sure but I think I like the music I like because they have this special 'mood' that fits me. And the lyrics are also important for me. Question is: how can we turn this into meta data suitable for matching.
Interesting question ohwp. I do think that recommendation systems are only going to get better. Lyrics and sentimental analysis are definitely going to play a part in that.
One of the main reasons we built Soundwave though was to take a more human based approach to music discovery. Personally, I'd take three friends who have similar hardcore tastes than me over any system (currently built) because I too was annoyed at how poor the recommendations were. Our app will hopefully reduce the friction in finding those people with similar tastes.