Bias and Social Aspects in Search and Recommendation
First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings
Editors: Boratto, L., Faralli, S., Marras, M., Stilo, G. (Eds.)
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- About this book
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This book constitutes refereed proceedings of the First International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2020, held in April, 2020. Due to the COVID-19 pandemic BIAS 2020 was held virtually.
The 10 full papers and 7 short papers were carefully reviewed and seleced from 44 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact ofgender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web.
- Table of contents (18 chapters)
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Facets of Fairness in Search and Recommendation
Pages 1-11
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Mitigating Gender Bias in Machine Learning Data Sets
Pages 12-26
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Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems
Pages 27-34
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Effect of Debiasing on Information Retrieval
Pages 35-42
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Matchmaking Under Fairness Constraints: A Speed Dating Case Study
Pages 43-57
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Table of contents (18 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Bias and Social Aspects in Search and Recommendation
- Book Subtitle
- First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings
- Editors
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- Ludovico Boratto
- Stefano Faralli
- Mirko Marras
- Giovanni Stilo
- Series Title
- Communications in Computer and Information Science
- Series Volume
- 1245
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-52485-2
- DOI
- 10.1007/978-3-030-52485-2
- Softcover ISBN
- 978-3-030-52484-5
- Series ISSN
- 1865-0929
- Edition Number
- 1
- Number of Pages
- X, 205
- Number of Illustrations
- 13 b/w illustrations, 46 illustrations in colour
- Topics
