Discovering non-interesting attributes
As a simple measure, you could simply take the point biserial correlation between duration and rating for a given user.  If they aren't correlated (positively or negatively), this variable is likely not important to that user.

Another way to determine the impact of a variable is by training another model excluding that variable and determining how that affects the quality of the predictions.