Google boosts search engine ranking efficiency with AI
Google has reached a new milestone in understanding search queries and now has the ability to consider the full context of a searched word using artificial intelligence.
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By analysing the words that come before and after the word in question, the search engine will be able to better understand what the user wants.
The update is a result of a new artificial intelligence training system it calls BERT, which stands for Bidirectional Encoder Representations from Transformers.
The system will improve one in 10 search queries, according to the company.
The announcement comes as the company goes after more predictive search results in an attempt to make its products more conversational and useful, which would keep people engaged longer.
Google Senior Fellow and SVP Jeff Dean said at a press event on Thursday that it has taken a long time for software to develop the skill that people naturally have to understand the context of a word.
“We’re far from perfecting language, but this is a significant step,” said Dean.
“We’re generally looking at a lot of places we could apply it,” he added, referring to BERT. “Understanding language is core to a lot of Google products such as Gmail.”