Bias and Social Aspects in Search and Recommendation

Discover the insightful exploration of algorithmic bias with Bias and Social Aspects in Search and Recommendation by Ludovico Boratto. Published by Springer Nature Switzerland AG in 2020, this engaging paperback edition spans 205 pages and presents the refereed proceedings from the First International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2020, which took place in April 2020.

This essential read delves into the critical social implications of bias in search and recommendation systems, making it a must-have for researchers, practitioners, and anyone interested in the intersection of technology and society. Enhance your understanding of how these algorithms shape our digital experiences and the importance of addressing bias in their development.

Join the conversation on ethical technology and discover ways to foster fairness and inclusivity in digital environments with this thought-provoking work.