language understanding​ via BERT:

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Standing to impact 1 out of every 10 queries, BERT aims to allow Google to more fully understand user intent through augmenting the company’s already significant Natural Language Processing capabilities. As​ ​Google states about search

“​BERT models can therefore consider the full context of a word by looking at the words that come before and after it—particularly useful for understanding the intent behind search queries. By applying BERT models to both ranking and featured snippets in Search, we’re able to do a much better job helping you find useful information.”

In effect, what this means is that through BERT, Google buy bulk sms service has become more effective in its ability to interpret complex, long-tail queries and semantic context, returning increasingly relevant results based on the ​intent​ of the search.

Naturally, given that this update impacts Google’s understanding of searches as opposed to how pages are ranked, retailers are attempting to establish ways to​ ​optimize their ecommerce business for voice search​, standard long-tail queries and other types of searches that BERT will impact.