The trend continued until 2013. Everything was about more complex models and putting them together using ensemble methods to increase the predictive power of the model. Think about it. The Netflix prize was won by a group that basically put together 107 models in one massive hairball. Its predictive power was better than anything else, but it was completely opaque as how it worked, and it took forever to run. Netflix claims they never implemented the winning model basically because the engineering effort to implement the algorithm did not justify the performance improvement from a simpler algorithm.
Here is the write up from their blog: