Google Applies AI Model to Improve Search ‘Snippets’
‘Significant’ advancement yields more reliable answers to user queries
Google has unveiled what it calls a “significant” innovation to ‘featured snippets’ to improve results from user searches.
Featured snippets are the short answers that come up in Google Search when users ask a question. For example:
How Google searches work in general: In response to a user search, it ranks different sources from the internet and shows information from sources it sees as the most reliable and that demonstrate expertise, authority and trustworthiness. For instance, if many other websites link to a particular website, that is a signal of the site’s expertise and authority.
Now, Google is essentially doing the same thing to its snippets: making sure the quick answer to a user question is the most reliable available. How? By letting its search system “understand the notion of consensus,” wrote Google Search Vice President Pandu Nayak in a blog post.
MUM’s the word
Google used its latest AI model, Multitask Unified Model (MUM), to finetune featured snippets. The system looks for an answer that multiple high-quality sources agree is factual. Nayak said this works “even if sources use different words or concepts to describe the same thing.”