Algorithms

Navboost

A Google ranking component, described in United States antitrust testimony, that uses aggregated historical click and query data to adjust rankings.

In full

Navboost became public through evidence and testimony in the US Department of Justice case against Google, where witnesses described it as a long-running system built on click logs over an extended window. It is not documented by Google in its public ranking systems guide, and Google has historically disputed simplistic claims that clicks are a direct ranking factor. Treat it as evidence that user interaction data informs ranking in some aggregated form, not as a mechanism to game with click bots.

Example

Practitioners cite Navboost when explaining why long-established pages with strong engagement histories resist ranking changes.

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Where to read more