Google: Machine Learning Can Be Used To Make New Ranking Signals Out Of Old Ones

A month ago, I interview Gary Illyes at Marketing Land and covered this bit at Search Engine Land but it got lost. In short, Gary Illyes from Google said that machine learning and artificial intelligence within the search algorithm can be used to make new ranking signals. He said that Google can use it to say if you combine ranking signal A with ranking signal B, we can make a new ranking signal C that helps improve quality of the search results. Gary Illyes: They are typically used for coming up with new signals and signal aggregations. So basically, let's say that this is a random example and not know if this is real, but let's say that I would want to see if combining PageRank with Panda and whatever else, I don't know, token frequency.