When I first came across the web as a computer scientist in the mid-90s, I was struck by the sheer volume of information online, in contrast with how hard it was to find what you were looking for. It was then that I first started thinking about search, and I’ve been fascinated by the problem ever since.
We’ve made tremendous progress over the past 22 years, making Google Search work better for you every day. With recent advancements in AI, we’re making bigger leaps forward in improvements to Google than we’ve seen over the last decade, so it’s even easier for you to find just what you’re looking for. Today during our Search On live stream, we shared how we’re bringing the most advanced AI into our products to further our mission to organize the world’s information and make it universally accessible and useful.
Helping You Find Exactly What You’re Looking for
At the heart of Google Search is our ability to understand your query and rank relevant results for that query. We’ve invested deeply in language understanding research, and last year we introduced how BERT language understanding systems are helping to deliver more relevant results in Google Search. Today we’re excited to share that BERT is now used in almost every query in English, helping you get higher quality results for your questions. We’re also sharing several new advancements to search ranking, made possible through our latest research in AI:
We’ve continued to improve our ability to understand misspelled words, and for good reason—one in 10 queries every day is misspelled. Today, we’re introducing a new spelling algorithm that uses a deep neural net to significantly improve our ability to decipher misspellings. In fact, this single change makes a greater improvement to spelling than all of our improvements over the last five years.
Very specific searches can be the hardest to get right, since sometimes the single sentence that answers your question might be buried deep in a web page. We’ve recently made a breakthrough in ranking and are now able to not just index web pages, but individual passages from the pages. By better understanding the relevancy of specific passages, not just the overall page, we can find that needle-in-a-haystack information you’re looking for. This technology will improve 7 percent of search queries across all languages as we roll it out globally.