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Algorithmic Bias in Search and Recommendation

Ludovico Boratto • 2020 • Springer

Author
Ludovico Boratto
First published
2020
Publisher
Springer
Genres
Art
ISBN
9783030524845
720,606books tracked
0copies listed for sale
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Published in 2020 by Springer, this work emerged during a critical period when the academic and tech communities began to grapple seriously with the societal impacts of automated decision-making. Ludovico Boratto crafted this text to serve as a structured examination of how search and recommendation engines—the engines powering modern web navigation—frequently mirror, reinforce, or amplify human prejudices, framing these systems not as neutral mathematical tools but as entities with inherent social consequences.

The book is part of the Springer Briefs in Computer Science series, which prioritizes concise, technical overviews of emerging research areas. Boratto, a researcher specializing in recommender systems and data mining, designed the text to bridge the gap between technical implementation and ethical oversight. It is widely regarded as a foundational resource for practitioners and researchers aiming to identify, measure, and mitigate fairness issues within algorithmic pipelines.

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