Advances in Bias and Fairness in Information Retrieval: Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, ... in Computer and Information Science)
ISBN-13:
9783030788179
ISBN-10:
3030788172
Edition:
1st ed. 2021
Author:
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Publication date:
2021
Publisher:
Springer
Format:
Paperback
181 pages
FREE US shipping
Rent
35 days
Due Jun 13, 2024
35 days
from $41.27
USD
Book details
ISBN-13:
9783030788179
ISBN-10:
3030788172
Edition:
1st ed. 2021
Author:
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Publication date:
2021
Publisher:
Springer
Format:
Paperback
181 pages
Summary
Advances in Bias and Fairness in Information Retrieval: Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, ... in Computer and Information Science) (ISBN-13: 9783030788179 and ISBN-10: 3030788172), written by authors
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo, was published by Springer in 2021.
With an overall rating of 4.4 stars, it's a notable title among other
Databases & Big Data
(Networking & Cloud Computing, Internet & Social Media) books. You can easily purchase or rent Advances in Bias and Fairness in Information Retrieval: Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, ... in Computer and Information Science) (Paperback) from BooksRun,
along with many other new and used
Databases & Big Data
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 Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, held in April, 2021. Due to the COVID-19 pandemic BIAS 2021 was held virtually.
The 11 full papers and 3 short papers were carefully reviewed and selected from 37 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact of gender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web.
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}