I'm starting my thesis on music information retrieval, just studying the related work for now. If anybody has any suggestion on the directions I could follow would be really welcome.
My initial idea would be to focus on playlist generation taking into account user's history and usage. So far I've seen a lot of related work exploiting song similarity, some cool work on music mood and some on assisted playlist building. I'm also not ruling out recommendation or discovery.
Thank you!
There is a link to request an invite at mortardata.com -- if you'd like access, let us know. We just got a lot of invitation requests from this post, but we'll invite you as soon as we can.
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Looks amazing, can't wait to get access to it.
I'm starting my thesis on music information retrieval, just studying the related work for now. If anybody has any suggestion on the directions I could follow would be really welcome.
My initial idea would be to focus on playlist generation taking into account user's history and usage. So far I've seen a lot of related work exploiting song similarity, some cool work on music mood and some on assisted playlist building. I'm also not ruling out recommendation or discovery.
Thank you! There is a link to request an invite at mortardata.com -- if you'd like access, let us know. We just got a lot of invitation requests from this post, but we'll invite you as soon as we can.
And also, if you haven't seen musicmachinery.com, do check it out.
Wow, this is a great resource. Thanks for sharing.
I was just going through their archives trying to answer my question and found a great discussion on this post:
http://musicmachinery.com/2011/05/14/how-good-is-googles-ins...
There are some insightful comments from names I recognize from my research.