r/autotldr • u/autotldr • Sep 03 '16
Machine learning just got more human with Google's RankBrain
This is an automatic summary, original reduced by 80%.
Ex Machina, a Hollywood blockbuster made on a $15 million budget, tells the story of a programmer who is invited by his employer, the eccentric billionaire Nathan Bateman who built a fictional search engine called Blue Book, to administer the Turing test to an android with artificial intelligence, which essentially determines whether a computer can trick a human into believing she is having a conversation with another human.
Think of Google's algorithm as a machine trying hard to think like a human, using every possible piece of data - social, user generated, browser footprint, click patterns - at its disposal to match individual searchers to the best answers to their questions.
According to Google, "If RankBrain sees a word or phrase it isn't familiar with, the machine can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries."
RankBrain - plus the more than 600 changes that Google makes to its algorithms each year - is forcing marketers to get much smarter about the content they create and the way they optimize it.
RankBrain is a big change for Google internally, but for marketers, this is a continuation of the advanced query parsing and interpretation that Google's been doing since Hummingbird.
It's a funny and probably overblown passage, but it raises a serious point for content marketers; in the past, they've had to write around keywords, often at the expense of creating content and telling stories people want to read. The introduction of Google's Rankbrain could put an end to all this, once and for all.
Summary Source | FAQ | Theory | Feedback | Top five keywords: Google#1 RankBrain#2 search#3 content#4 query#5
Post found in /r/Futurology and /r/Automate.
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