Addressing bias in information retrieval /

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...

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Bibliographic Details
Main Authors:	Mishra, Harshit (Author), Soundarajan, Sucheta (Author)
Format:	eBook
Language:	English
Published:	Cham : Springer, 2026.
Series:	SpringerBriefs in intelligent systems,
Subjects:	Information retrieval. Information storage and retrieval systems. Discrimination. Information Storage and Retrieval Algorithms Information Systems Recherche de l'information. Systèmes d'information. Algorithmes. information retrieval. algorithms. Recuperación de la información Algoritmos computacionales Information retrieval Computer algorithms Electronic books.

Table of Contents:

Chapter 1 Introduction
Chapter 2 Unfairness in Information Retrieval
Chapter 3 Measuring Unfairness
Chapter 4 Debiasing Word Embeddings
Chapter 5 Fair Information Retrieval Methods
Chapter 6 Concluding Thoughts.