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Google says it's improving 10% of English searches in the US by using NLP techniques to better understand query context and words' relationship with each other

For Google's namesake search engine, delivering the right results is about understanding what people are asking for.

Fast Company Harry McCracken

Discussion

  • @marie_haynes Marie Haynes on x
    Here's more on BERT. It's really good for helping Google understand more queries. For example, many queries using “for” or “to” used to confuse Google. https://blog.google/...
  • @lmthang Thang Luong on x
    BERT for Ranking in action. I actually don't know a lot of details but there must be a lot work in optimizing BERT to run at scale and for search! https://twitter.com/...
  • @dynamicwebpaige @dynamicwebpaige on x
    “When it comes to quality of search results, 'this is the single biggest, most positive change we've had in the last 5 years, and perhaps one of the biggest since the beginning.'” Thanks, @TensorFlow. ☺️ Why 10% of all @Google Search results are changing https://www.theverge.com/…
  • @colin_sebastian Wall Street West Coast on x
    Seems like a fairly material (and positive) change to Google Search, which should also benefit voice search results (Google's advantage over Alexa.) NLP now part of search. What say you @BrianRoemmele ? $GOOG https://www.theverge.com/...
  • @lutherlowe Luther Lowe on x
    No one should cover Google's “algorithm improvement” without also citing the latest data showing that the majority of Google traffic either terminates on Google or goes to secondary pages on Google. Google's contribution to the web is net negative. https://www.techmeme.com/... ht…
  • @quantamagazine Quanta on x
    Google's AI system named BERT has allowed machines to score higher than ever on reading comprehension tests. The program has now been added to Google's search function in what's being called “one of the biggest leaps forward in the history of Search.” https://blog.google/...
  • @backlon Dieter Bohn on x
    Google's VP of search says the algorithm changes rolling out right now are the biggest “change we've had in the last five years and perhaps one of the biggest since the beginning.” It's a big deal, 10% of all searches are affected! https://www.theverge.com/...
  • @gfiorelli1 Gianluca Fiorelli on x
    Useful sources about BERT (just tweeting a couple): Semantic Frames and Word Embeddings at Google https://gofishdigital.com/... by @bill_slawski; Natural Language Processing and Search Intent Understanding https://es.slideshare.net/... by @dawnieando