Google is also adding more context to About this result’ feature, such as how widely a source is circulated, online reviews about a source or company, whether a company is owned by another entity, or even when our systems can’t find much info about a source. “We’ve reduced the triggering of featured snippets in these cases by 40 per cent with this update,” said Google. The company said it has trained systems to get better at detecting false premises, which are not very common, but are cases where it’s not helpful to show a featured snippet.
It looks at the whole context of words to try to understand. “Our systems can check snippet callouts (the word or words called out above the featured snippet in a larger font) against other high-quality sources on the web, to see if there’s a general consensus for that callout, even if sources use different words or concepts to describe the same thing,” explained Nayak. But this one is the biggest the company has released in at least five years, said Pandu Nayak, Google’s vice president of Search. Google also introduced latest AI model, called Multitask Unified Model (MUM), to improve search result quality in snippets’ which are shown on top of the page for searches.
“We have deeply invested in both information quality and information literacy on Google Search and News, and today we have a few new developments about this important work,” said Nayak. “Whatever you’re searching for, we’re committed to helping you safely find it,” Nayak said.“These notices provide context about the whole set of results on the page, and you can always see the results for your query, even when the advisory is present,” he said in a blog post late on Thursday. Nayak stated that Google is also working with trusted local partners to better detect personal crisis queries all over the world, and show actionable information in several more countries. “It’s been especially effective in reducing explicit content for searches related to ethnicity, sexual orientation and gender, which can disproportionately impact women and especially women of colour,” he added. Nayak said last year, BERT has reduced unexpected shocking results by 30 percent. And even when users choose to have SafeSearch off, our systems still reduce unwanted racy results for searches that aren’t seeking them out,” Nayak said.įurther, Google uses advanced AI technologies like BERT to better understand what an individual is looking for.īERT has improved the understanding of whether searches are truly seeking out explicit content, helping vastly to reduce the chances of encountering surprising search results. “This setting is on by default for Google accounts of people under 18. “And MUM is multimodal, so it understands information across text and images and, in the future, can expand to more modalities like video and audio,” he added.Īnother feature to keep an individual safe on Search, while also steering clear of unexpected shocking results, is the SafeSearch mode, which offers users the option to filter explicit results. It’s trained across 75 different languages and many different tasks at once, allowing it to develop a more comprehensive understanding of information and world knowledge than previous models, – shared Pandu Nayak, Google Fellow and Vice President of Search, in a blog post. MUM not only understands language, but also generates it. MUM can better understand the intent behind people’s questions to detect when a person is in need, which helps us more reliably show trustworthy and actionable information at the right time. In his May 2021 introduction to MUM, Pandu Nayak, Google fellow and vice president of Search, made it clear that MUM technology isn’t yet in play: Today’s search engines aren’t quite. The tech giant’s latest AI model Multitask Unified Model, or MUM can automatically and more accurately detect a wider range of personal crisis searches.
0 kommentar(er)
