I'd like to test a new algorithm for collaborative filtering. A typical use case is to recommend movies based on the preferences of users similar to the specific user.
What are some common benchmark datasets that researchers often use to test their algorithms? I know that within Computer Vision people often use MNIST or CIFAR, but I haven't found similar datasets for collaborative filtering.