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Unveiling Google's Secrets: The Role of Manual Quality Raters in SEO

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Manage episode 403668984 series 3458098
Контент предоставлен Jeremy Rivera. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Jeremy Rivera или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

In this enlightening episode of our podcast, "Unveiling Google's Secrets: The Role of Manual Quality Raters in SEO," Mark A Preston and SEO guru Cyrus Shepard dive deep into the often-misunderstood world of Google's manual quality raters.
Cyrus, stepping away from his role as a quality rater, sheds light on the crucial function these raters play in Google's algorithm. He clarifies that contrary to common belief, the feedback from these raters isn't used directly to alter search rankings. Instead, their assessments are vital in training Google's machine learning algorithms, like Penguin and the Helpful Content Update. These algorithms are designed to autonomously assign quality scores to the billions of web pages they encounter.
Mark and Cyrus discuss how this process involves quality raters meticulously evaluating web pages, determining whether they meet Google's high standards. Their evaluations, while not directly impacting a website's ranking, contribute significantly to the algorithm's learning process. This learning enables Google's system to recognise and differentiate high-quality content from poor, ultimately influencing how content is ranked in search results.
The conversation further explores the implications of this process for SEO professionals and website owners. Cyrus points out that if a website is consistently rated poorly by these raters, it could indirectly signal to Google's algorithms that similar sites might be of lower quality, potentially affecting their rankings.
This episode is essential for anyone in the SEO field or managing a website, offering a rare glimpse into how Google utilises manual evaluations to refine its search results. "Unveiling Google's Secrets: The Role of Manual Quality Raters in SEO" provides valuable insights into the nuanced relationship between human assessments and machine learning in shaping the future of search.
Join us for this fascinating episode with Mark A Preston and Cyrus Shepard, and stay updated with more deep dives into the world of SEO by subscribing to our podcast.

  continue reading

305 эпизодов

Artwork
iconПоделиться
 
Manage episode 403668984 series 3458098
Контент предоставлен Jeremy Rivera. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Jeremy Rivera или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

In this enlightening episode of our podcast, "Unveiling Google's Secrets: The Role of Manual Quality Raters in SEO," Mark A Preston and SEO guru Cyrus Shepard dive deep into the often-misunderstood world of Google's manual quality raters.
Cyrus, stepping away from his role as a quality rater, sheds light on the crucial function these raters play in Google's algorithm. He clarifies that contrary to common belief, the feedback from these raters isn't used directly to alter search rankings. Instead, their assessments are vital in training Google's machine learning algorithms, like Penguin and the Helpful Content Update. These algorithms are designed to autonomously assign quality scores to the billions of web pages they encounter.
Mark and Cyrus discuss how this process involves quality raters meticulously evaluating web pages, determining whether they meet Google's high standards. Their evaluations, while not directly impacting a website's ranking, contribute significantly to the algorithm's learning process. This learning enables Google's system to recognise and differentiate high-quality content from poor, ultimately influencing how content is ranked in search results.
The conversation further explores the implications of this process for SEO professionals and website owners. Cyrus points out that if a website is consistently rated poorly by these raters, it could indirectly signal to Google's algorithms that similar sites might be of lower quality, potentially affecting their rankings.
This episode is essential for anyone in the SEO field or managing a website, offering a rare glimpse into how Google utilises manual evaluations to refine its search results. "Unveiling Google's Secrets: The Role of Manual Quality Raters in SEO" provides valuable insights into the nuanced relationship between human assessments and machine learning in shaping the future of search.
Join us for this fascinating episode with Mark A Preston and Cyrus Shepard, and stay updated with more deep dives into the world of SEO by subscribing to our podcast.

  continue reading

305 эпизодов

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