Google Algorithm Updates, ML Classifiers, Precision, and the Impact To Collateral Damage

Interested in the amount of collateral damage that can occur when major Google algorithm updates roll out? Well, a recent appearance by Mark Zuckerberg on the Joe Rogan podcast provides a great explanation of how classifiers, confidence levels, and precision work with machine learning algorithms. He also covered how adjusting confidence can impact the amount of collateral damage occurring when updates roll out. And if you swap “Social” for “Search”, Zuckerberg could be talking about any major Google algorithm update.

In this video, I cover Mark's comments about classifiers and collateral damage, I cover how classifiers are used by Google with major algorithm updates (and part of its core rankings systems), I cover yo-yo trending and why that can happen with certain sites, and I end by covering the future of broad core updates (from my perspective).

Blog post: https://www.gsqi.com/marketing-blog/classifiers-confidence-and-google-algorithm-updates/

00:00 Introduction
00:39 Mark Zuckerberg about classifiers, confidence levels, and collateral damage.
01:58 The connection to SEO and Google algorithm updates.
03:18 The September 2023 Helpful Content Update (HCUX)
04:23 Classifiers and Google's guide to search ranking systems
05:18 Yo-yo trending with Google updates
06:25 The 'Kitchen Sink' approach to remediation is the path forward.
07:17 The future of Google's broad core updates.
09:02 Wrapping up.

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