Examples of search groups or provide details on how rankbrain guesses which pages are the best. But the latter is probably because if it can translate an ambiguous search into C Level Executive List something more specific, then it can bring back better answers. And an example? Although google didn't give any search groups, the bloomberg article had a single search C Level Executive List example where rankbrain is supposed to help. It's here: what is the title of the consumer at the highest level of a food chain for a layman like me, “consumer” sounds like a reference to someone buying something. However, it is also a scientific term for something that consumes food.
There are also levels of consumers in a food chain. This consumer at the highest level? The title - the name - is "Predator". Typing this query into google provides C Level Executive List good answers, even if the query itself looks quite odd: food chain consumer now consider how similar the results are for a search such as "Higher level of the food chain", as shown C Level Executive List below: connecting that long, complicated original query to this much shorter query, which is probably more common. He understands that they are very similar. As a result, google can leverage everything it knows about getting
Answers to the most common query to help improve what it provides for the rare query. Let me point out that I don't know that rankbrain connects these two C Level Executive List searches. I only know that google gave the first example. This is just an C Level Executive List illustration of how rankbrain can be used to connect an unusual search to a common search to make things better. Can bing do this with ranknet too? In 2005, microsoft started using its own machine learning system, called ranknet, as part of what became its today's bing search engine. In fact, the chief researcher and creator of ranknet was recently honored. But over the years, microsoft has barely talked