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Details Emerge About Google Discover’s SDF Freshness Algorithm via @sejournal, @martinibuster

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Details Emerge About Google Discover’s SDF Freshness Algorithm via @sejournal, @martinibuster

New details on Google Discover's filters that remove articles before they can rank. Here's what to do preserve search performance.

Google published new research on how to improve Google Discover with a more accurate system for identifying and removing stale content. The new system, Supersession-Decay Filtering (SDF), is already in use by Google and is affecting what content is shown to users.

The word “supersession” is derived from the word “supersede” and identifying when newer content has superseded older content is one of the two things this system does. The word “decay” relates to the other thing the system does, which is to predict when content usefulness is lost through relevance decay.

What may be shocking to the publishing and SEO community is that this system has been in use for two years. That means publishers, site owners, and SEOs need to catch up. The details of this system have implications for content and interlinking strategies.

“We address both mechanisms with SDF (Supersession-Decay Filtering), a unified staleness filtering system deployed in Google Discover, a personalized feed of open-web content in the Google Search app, serving hundreds of millions of daily and billions of monthly active users. While downstream ranking systems remain engagement-based and trend-aware, SDF acts as a proactive filtering layer. It prunes fundamentally stale content before it enters the computation-heavy ranking stage, providing a refined candidate set. SDF accomplishes this by decomposing the problem into two complementary components…”

The research paper goes on to describe two filters that are at the heart of the SDF.


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