Google’s current documentation says interaction data is transformed into signals that help machine-learned systems estimate relevance.

Cited by documentation

Sources

• How Does Google Determine Ranking Results - Google Search

  Google (google.com How Search Works) · primary source · retrieved 2026-08-18

  “We transform that data into signals that help our machine-learned systems better estimate relevance.” — Section "Relevance of content"

• How Does Google Determine Ranking Results - Google Search

  Google · primary source · retrieved 2026-08-18

  “We transform that data into signals that help our machine-learned systems better estimate relevance.” — line 58

• Unbiased Learning-to-Rank with Biased Feedback

  arXiv · primary source · retrieved 2026-08-18

  “directly using click data as a training signal in Learning-to-Rank” — abstract, lines 3-6

• Is Using Google Analytics A Search Ranking Factor?

  Search Engine Journal · retrieved 2026-08-18

  “We transform that data into signals that help our machine-learned systems better estimate relevance.” — Quotation of Google’s How Search Works documentation

Related claims

• NARROWSGoogle’s current How Search Works documentation says aggregated and anonymized interaction data is used to assess whether search results are relevant to queries.Supported
• NARROWSThe February 2025 call notes described user clicks as one type of data Google uses when fitting the majority of ranking signals.Supported