What is the intuition and the proof behind the expression
$E[V | W] = E[E[V | U,W] | W]$
where $U,V,W$ are random variables. I know that $E[V | W]$ can be treated as a random variable which is a function of $W$ but I am having a hard time getting the intuition about the above expression of nested expectations.