Position bias

As explained in Building Reliable AI Systems

A distortion in interaction data caused by users being more likely to engage with results because of their displayed position.

How Building Reliable AI Systems covers it

How deep it goes

Identifies top-rank click bias and the need for debiasing, but gives no specific correction method.

Examples

Uses clicks on top-ranked listings, regardless of relevance, as the concrete failure case.

What you can do after

Understand why click-derived embedding signals need debiasing to represent true semantic relationships.

How it connects

Connects click data and embedding models to learning semantic relationships.

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Also explained in

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  liveBookmanning.com
  AI-Powered SearchPosition bias is the systematic tendency for users to favor higher-ranked search results because of their displayed position, even when lower-ranked results are more relevant.

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Related concepts

• recency biasincludes · Recency bias is the tendency to give disproportionate weight to information encountered more recently when forming judgments, expectations, or outputs.
• de-biasing techniqueaddressed by · A de-biasing technique is a method for reducing systematic bias or unwanted disparities in data, model behavior, or system outcomes.
• biaskind of · Bias is a systematic deviation or tendency in data, measurements, estimates, judgments, or outputs that skews them relative to a relevant target or impartial baseline.

This explainer was generated by Manning's knowledge graph from the text of Building Reliable AI Systems. The section links point to the parts of the book it draws on.