Addressing Bias in Information Retrieval

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Online search engines are an essential tool for seeking information, but results returned from these search engines can contain undesirable forms of bias with respect to protected attributes such as gender or race. These biases can exist due to the word embeddings used by search engines, the design of re-ranking algorithms, the development of retrieval algorithms, or a variety of other reasons. Cl...
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Online search engines are an essential tool for seeking information, but results returned from these search engines can contain undesirable forms of bias with respect to protected attributes such as gender or race. These biases can exist due to the word embeddings used by search engines, the design of re-ranking algorithms, the development of retrieval algorithms, or a variety of other reasons. Cl...
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  • Formats: pdf
  • ISBN: 9783032241450
  • Publication Date: 22 May 2026
  • Publisher: Springer Nature Switzerland
  • Product language: English
  • Drm Setting: DRM