In September 2013 Google decided to announce their new search platform and call it Hummingbird. Within Hummingbird contains search algorithms names familiar to those in the SEO world, such as Panda Algorithm, Penguin Algorithm and Payday Algorithm designed to fight spam, Pigeon Algorithm designed to improve local results, Top Heavy Algorithm designed to demote ad-heavy pages, Mobile Friendly Algorithm designed to reward mobile-friendly pages, Pirate Algorithm designed to fight copyright infringement and Rankbrain Algorithm the latest addition to Google's Hummingbird search platform.
Q: What's the top 3 most important Google Algorithm?
A: In order:- Penguin
- Panda
- Rankbrain
Personally I believe that these are the top 3 most important Google Algorithm that SEOs and Internet Marketers must focus. Yes, Rankbrain is the 3rd most important algorithm that most people must focus.
Q: What is RankBrain?
A: RankBrain is Google’s name for a machine-learning artificial intelligence system that’s used to help process its search results, as was reported by Bloomberg and also confirmed to us by Google.
A: Machine learning is where a computer teaches itself how to do something, rather than being taught by humans or following detailed programming.
A: True artificial intelligence, or AI for short, is where a computer can be as smart as a human being, at least in the sense of acquiring knowledge both from being taught and from building on what it knows and making new connections.
True AI exists only in science fiction novels, of course. In practice, AI is used to refer to computer systems that are designed to learn and make connections.How’s AI different from machine learning? In terms of RankBrain, it seems to us they’re fairly synonymous. You may hear them both used interchangeably, or you may hear machine learning used to describe the type of artificial intelligence approach being employed.
A: No. RankBrain is part of Google’s overall search “algorithm,” a computer program that’s used to sort through the billions of pages it knows about and find the ones deemed most relevant for particular queries.
A: From emailing with Google, I gather RankBrain is mainly used as a way to interpret the searches that people submit to find pages that might not have the exact words that were searched for.
A: The methods Google already uses to refine queries generally all flow back to some human being somewhere doing work, either having created stemming lists or synonym lists or making database connections between things. Sure, there’s some automation involved. But largely, it depends on human work.
The problem is that Google processes three billion searches per day. In 2007, Google said that 20 percent to 25 percent of those queries had never been seen before. In 2013, it brought that number down to 15 percent, which was used again in yesterday’s Bloomberg article and which Google reconfirmed to us. But 15 percent of three billion is still a huge number of queries never entered by any human searcher — 450 million per day.Among those can be complex, multi-word queries, also called “long-tail” queries. RankBrain is designed to help better interpret those queries and effectively translate them, behind the scenes in a way, to find the best pages for the searcher.
As Google told us, it can see patterns between seemingly unconnected complex searches to understand how they’re actually similar to each other. This learning, in turn, allows it to better understand future complex searches and whether they’re related to particular topics. Most important, from what Google told us, it can then associate these groups of searches with results that it thinks searchers will like the most.
Google didn’t provide examples of groups of searches or give details on how RankBrain guesses at what are the best pages. But the latter is probably because if it can translate an ambiguous search into something more specific, it can then bring back better answers.
A: Despite my two examples above being less than compelling as testimony to the greatness of RankBrain, I really do believe that it probably is making a big impact, as Google is claiming. The company is fairly conservative with what goes into its ranking algorithm. It does small tests all the time. But it only launches big changes when it has a great degree of confidence.
Integrating RankBrain, to the degree that it’s supposedly the third-most important signal, is a huge change. It’s not one that I think Google would do unless it really believed it was helping.
A: Google said that they rollout RankBrain in early 2015 and that it’s been fully live and global for a few months now.
A: All learning that RankBrain does is offline, Google told us. It’s given batches of historical searches and learns to make predictions from these.
Those predictions are tested, and if proven good, then the latest version of RankBrain goes live. Then the learn-offline-and-test cycle is repeated.
A: Typically, how a query is refined — be it through stemming, synonyms or now RankBrain — has not been considered a ranking factor or signal.
Signals are typically factors that are tied to content, such as the words on a page, the links pointing at a page, whether a page is on a secure server and so on. They can also be tied to a user, such as where a searcher is located or their search and browsing history.A: Yes. Google reconfirmed to us that there is a component where RankBrain is directly contributing somehow to whether a page ranks.
A: Perhaps, but it seems much more likely that RankBrain is somehow helping Google better classify pages based on the content they contain. RankBrain might be able to better summarize what a page is about than Google’s existing systems have done.
Or not. Google isn’t saying anything other than there’s a ranking component involved.
A: Google said that people who want to learn about word “vectors” — the way words and phrases can be mathematically connected —
If you require SEO Services at a reasonable rate contact me through Skype: Dokemion
If you require SEO Services at a reasonable rate contact me through Skype: Dokemion
Posts
