Alphabet Inc (NASDAQ:GOOGL) ‘s Google has come up with a new search method – BERT (Bidirectional Encoder Representations From Transformers) to provide meaningful search results. Starting today, Google uses machine powered language processing to show better results in understanding the context of the search query.
How BERT works?
Google has been using natural language processing until yesterday. If you search with the phrase ‘get medicine at pharmacy,’ it focuses the words medicine and pharmacy and brings the pages comprising those two words. However, BERT understands the sequence of words in the search query and provides more contextual results.
According to Google executives, BERT better understands users’ intentions and brings up only those relevant results. Google engineers have incorporated changes in the search algorithm. It is a big leap in the ability of Google’s search engine to understand what user requests and serve the relevant pages. Therefore, it reduces the chance of irrelevant pages and saves the time of the users.
In the older search methods, the Google search engine focuses on essential words in the search phrase and brings relevant pages. The BERT based algorithm understands the context of the search query and serves only related pages. It is far better than the previous search algorithm.
Senior Vice President (Research) and senior fellow of Google, Jeff Dean, said the company collects a corpus of sentences and eliminates 15% of the words. BERT understands the context of those words. Such understanding over a while offers remarkable results. The new search algorithm considers ‘no’ in the search query’ parking on a hill with no curb,’ which is very important to provide the related search results. In the previous search method, it could have left the word ‘no’ in finding the relevant pages. However, Google does not expect significant changes in where it drives the traffic.
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