Checking the lost queries and the destination landing pages that dropped out revealed problems that were extremely Panda-like.
Link schemes - Webmaster Tools Help - 0 views
A deep dive into BERT: How BERT launched a rocket into natural language understanding -... - 0 views
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Google describes BERT as the largest change to its search system since the company introduced RankBrain, almost five years ago, and probably one of the largest changes in search ever.
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it is not so much a one-time algorithmic change, but rather a fundamental layer which seeks to help with understanding and disambiguating the linguistic nuances in sentences and phrases, continually fine-tuning itself and adjusting to improve.
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BERT achieved state-of-the-art results on 11 different natural language processing tasks. These natural language processing tasks include, amongst others, sentiment analysis, named entity determination, textual entailment (aka next sentence prediction), semantic role labeling, text classification and coreference resolution. BERT also helps with the disambiguation of words with multiple meanings known as polysemous words, in context.
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Google's neural matching versus RankBrain: How Google uses each in search - Search Engi... - 0 views
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Google said in September 2018 that neural matching impacts about 30 percent of all queries. We asked Google if that has increased, but have not received an update.What is RankBrain? Isn’t it similar? Google told us in 2016 that RankBrain (see our RankBrain FAQ) is also an AI, machine learning-based system that helps Google understand queries.Google said a good way to think about RankBrain is as an AI-based system it began using in 2016 primarily to understand how words are related to concepts.So what’s the difference between Neural matching and RankBrain? Google put it this way:RankBrain helps Google better relate pages to concepts.Neural matching helps Google better relate words to searches
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Why it matters. The truth is, there isn’t much a search marketer can do to better optimize for RankBrain, as we said in 2016. The same seems to apply for neural matching, there doesn’t seem like you can do anything special to do better here. This is more about Google understanding queries and content on a page better than it currently does right now.That said, it seems to indicate that search marketers need to worry a bit less about making sure specific keywords are on their pages because Google is getting smarter at figuring out the words you use naturally on your pages and matching them to queries.We asked Google if it has additional recommendations around neural matching and RankBrain and were told its advice has not changed: Simply “create useful, high quality content.”
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Google’s neural matching versus RankBrain: How Google uses each in searchNeural matching helps Google better relate words to searches, while RankBrain helps Google better relate pages to concepts.
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