Google’s Gary Illyes clears misconceptions about the RankBrain Algorithm

Webmaster trends analyst at Google, Gary Illyes, has recently explained the working of the RankBrain algorithm. Illyes also explained various theories associated with the algorithm and different misconceptions that have arisen, throughout the years. The answer came in on a Reddit AMA (ask me anything), where questions began filling in as soon as the Q&A session started.

One user asked if RankBrain includes various UX signals and if the algorithm was designed to comprehend which results should be presented to the user for unrecognized searches. Illyes explained that RankBrain was created to be very user oriented and is an important machine learning ranking component. The way RankBrain works is by using historical search data, to predict what the user is most likely to select for a previously unseen question.

Illyes continued by saying that RankBrain was able to solve various problems that Google previously used to face, as a result of the previously used algorithms. RankBrain depends on the data that is gathered from the user’s interactions with various search results, and other content available on the internet. Illyes made sure to clarify that searching on the internet works on a much simpler principle than many people believe it to be and that RankBrain serves as the easy and simplified savior for the Google Search engine.
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A user named Postali_SEO_Dan asked an interesting question, asking what most search marketing experts "tend to overlook/not pay attention to?". Illyes responded that "Google Images and Video search is often overlooked, but they have massive potential."


Photo: Jaap Arriens / NurPhoto / Getty Image

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