Google provides synonym search results to try natural language understanding Technology

Google provides synonym search results to try natural language understanding Technology

Google's official blog today claims that it has used natural language understanding technology to identify synonyms in search. For example, Google search considers "pictures" and "Photos" to be the same in a certain context, taking the Query [pictures developed with coffee] as an example, we can see that the "Photos" in the search results has been bold. This is a bold attempt, this is due to the fact that 70% of Google users Use synonyms in their searches. After four years of hard work, Google's current synonym recognition error rate is 1/50, that is to say, an error is detected every 50 queries that use synonym recognition. For example, [Dell system speaker driver precision 360], Google considers "precision" and "PC" as synonyms.

Natural language understanding is a challenge in artificial intelligence. Google can identify different synonyms based on different contexts by analyzing synonyms extracted from Web documents of several Pb (1,000,000,000,000,000 (1015) bytes), such:

[Dura ace track BB axle NJS], Google thinks "BB" indicates "bottom bracket ".

[Software Update on BB color id], "BB" indicates "BlackBerry"

[BB cream dark], where BB is considered as "blemish balm ".

[Southeastern usa bb fitness & figure], the synonym for "BB." Here is "bodybuilding"

AccordingArticleIntroduction: Google mainly analyzes the association between user queries and page content. For example, a large number of users query "xyz bcn", but the search result page uses "XYZ Barcelona ", google regards "BCN" as a synonym for "Barcelona". Of course, this must be in the context of "XYZ. The following is a brief introduction to Google's synonym recognition technology, making search better in Catalonia, Estonia, and everywhere else.

In his blog, Matt Cutts also suggested that the webmaster SEO should not pile up different forms of keywords of the same meaning in the article. However, this is unlikely because not all contexts use synonym results.

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