> It's not necessarily a genre specific separarion even though I've presented it here that way.
> 1. Assuming, your filter is set to
My interpretation of OP is the following:
I have different situations for music. I might listen to certain tracks in the early morning, others when coding, and yet others at the gym. If I have song x, I can: like X in the morning, like X for coding, dislike for both, like it for both. Of course, expand the two options to n.
Just like Netflix has different recommendation profiles for different users in a family, music recommendation algorithms should have the ability to make distinct profiles for different moods of one user.
> 1. Assuming, your filter is set to
My interpretation of OP is the following:
I have different situations for music. I might listen to certain tracks in the early morning, others when coding, and yet others at the gym. If I have song x, I can: like X in the morning, like X for coding, dislike for both, like it for both. Of course, expand the two options to n.
Just like Netflix has different recommendation profiles for different users in a family, music recommendation algorithms should have the ability to make distinct profiles for different moods of one user.