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
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Discussion
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@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/...
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@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/...
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@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