9783030524845-3030524841-Bias and Social Aspects in Search and Recommendation: First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings (Communications in Computer and Information Science, 1245)

Bias and Social Aspects in Search and Recommendation: First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings (Communications in Computer and Information Science, 1245)

ISBN-13: 9783030524845
ISBN-10: 3030524841
Edition: 1st ed. 2020
Author: Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Publication date: 2020
Publisher: Springer
Format: Paperback 220 pages
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Book details

ISBN-13: 9783030524845
ISBN-10: 3030524841
Edition: 1st ed. 2020
Author: Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Publication date: 2020
Publisher: Springer
Format: Paperback 220 pages

Summary

Bias and Social Aspects in Search and Recommendation: First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings (Communications in Computer and Information Science, 1245) (ISBN-13: 9783030524845 and ISBN-10: 3030524841), written by authors Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo, was published by Springer in 2020. With an overall rating of 3.6 stars, it's a notable title among other AI & Machine Learning (Data Processing, Databases & Big Data, Hardware & DIY, E-Commerce, Internet & Social Media, Computer Science) books. You can easily purchase or rent Bias and Social Aspects in Search and Recommendation: First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings (Communications in Computer and Information Science, 1245) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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. 

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