Content Standard

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update: April 2016
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The last few years, search engines such as Google, Bing, and even Apple, have been upgrading their algorithms and machine learning processes to account for the end-user’s experience. But, since their algorithms are built upon the work completed by automated crawling bots (pieces of software that manually scour the internet), it has always been difficult for them to truly simulate the actions of a flesh and blood user. And it’s not feasible for them to create an algorithm that’s based on the anecdotal feedback.

 

The last few years, search engines such as Google, Bing, and even Apple, have been upgrading their algorithms and machine learning processes to account for the end-user’s experience. But, since their algorithms are built upon the work completed by automated crawling bots (pieces of software that manually scour the internet), it has always been difficult for them to truly simulate the actions of a flesh and blood user. And it’s not feasible for them to create an algorithm that’s based on the anecdotal feedback.

 

The last few years, search engines such as Google, Bing, and even Apple, have been upgrading their algorithms and machine learning processes to account for the end-user’s experience. But, since their algorithms are built upon the work completed by automated crawling bots (pieces of software that manually scour the internet), it has always been difficult for them to truly simulate the actions of a flesh and blood user. And it’s not feasible for them to create an algorithm that’s based on the anecdotal feedback.

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