Advances in Bias and Fairness in Information Retrieval: Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings

The book summarizes the refereed proceedings of the Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, which was held virtually due to the COVID-19 pandemic. It includes 11 full papers and 3 short papers on topics such as search and recommendation in online dating, education, and social media, gender bias in word embeddings, and tools for exploring bias and fairness on the Web.

Format: Paperback / softback
Length: 171 pages
Publication date: 25 June 2021
Publisher: Springer Nature Switzerland AG

The Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2021) was held virtually in April 2021, due to the impact of the COVID-19 pandemic. The workshop brought together researchers from around the world to discuss and explore the challenges of algorithmic bias in search and recommendation systems.

The event featured a total of 14 papers, including 11 full papers and 3 short papers. These papers covered a wide range of topics, including search and recommendation in online dating, education, and social media, the impact of gender bias in word embeddings, and tools for exploring bias and fairness on the web.

The review process for the papers was rigorous, with each submission being carefully reviewed by a panel of experts in the field. The selection criteria included the originality of the research, the significance of the findings, and the quality of the presentation.

The workshop provided a platform for researchers to share their latest findings, exchange ideas, and collaborate on developing solutions to address algorithmic bias in search and recommendation systems. The discussions were lively and insightful, and the participants left the workshop with a renewed commitment to addressing this important issue.

In conclusion, the Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2021) was a successful event that brought together researchers from diverse fields to address the challenges of algorithmic bias. The papers presented at the workshop covered a wide range of topics and provided valuable insights into the impact of bias on search and recommendation systems. The event also highlighted the need for continued research and collaboration in this area to develop more fair and equitable systems that can benefit everyone.

Weight: 454g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030788179
Edition number: 1st ed. 2021