Bias and Social Aspects in Search and Recommendation Bias and Social Aspects in Search and Recommendation

Bias and Social Aspects in Search and Recommendation

First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings

Ludovico Boratto والمزيد
    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

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. 

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١١ يوليو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Advances in Bias and Fairness in Information Retrieval Advances in Bias and Fairness in Information Retrieval
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Information Retrieval Technology Information Retrieval Technology
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E-Commerce and Web Technologies E-Commerce and Web Technologies
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Recommender Systems Handbook Recommender Systems Handbook
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Advances in Information Retrieval Advances in Information Retrieval
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Web Information Systems Engineering – WISE 2016 Web Information Systems Engineering – WISE 2016
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Recommender Systems for Sustainability and Social Good Recommender Systems for Sustainability and Social Good
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Advances in Bias and Fairness in Information Retrieval Advances in Bias and Fairness in Information Retrieval
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Advances on Graph-Based Approaches in Information Retrieval Advances on Graph-Based Approaches in Information Retrieval
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Group Recommender Systems Group Recommender Systems
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Advances in Bias and Fairness in Information Retrieval Advances in Bias and Fairness in Information Retrieval
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Advances in Bias and Fairness in Information Retrieval Advances in Bias and Fairness in Information Retrieval
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