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Showing 1 - 5 of
5 matches in All Departments
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Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers (1st ed. 2023)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
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R1,886
Discovery Miles 18 860
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 4th
International Workshop on Algorithmic Bias in Search and
Recommendation, BIAS 2023, held in Dublin, Ireland, in April
2023. The 10 full papers and 4 short papers included in this book
were carefully reviewed and selected from 36 submissions. The
present recent research in the following topics: biases exploration
and assessment; mitigation strategies against biases; biases in
newly emerging domains of application, including healthcare,
Wikipedia, and news, novel perspectives; and
conceptualizations of biases in the context of generative models
and graph neural networks.
This book presents group recommender systems, which focus on the
determination of recommendations for groups of users. The authors
summarize different technologies and applications of group
recommender systems. They include an in-depth discussion of
state-of-the-art algorithms, an overview of industrial
applications, an inclusion of the aspects of decision biases in
groups, and corresponding de-biasing approaches. The book includes
a discussion of basic group recommendation methods, aspects of
human decision making in groups, and related applications. A
discussion of open research issues is included to inspire new
related research. The book serves as a reference for researchers
and practitioners working on group recommendation related topics.
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Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers (Paperback, 1st ed. 2022)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
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R1,880
Discovery Miles 18 800
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Ships in 10 - 15 working days
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This book constitutes refereed proceedings of the Third
International Workshop on Algorithmic Bias in Search and
Recommendation, BIAS 2022, held in April, 2022. The 9 full papers
and 4 short papers were carefully reviewed and selected from 34
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.
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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 (Paperback, 1st ed. 2021)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
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R1,539
Discovery Miles 15 390
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Ships in 10 - 15 working days
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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.
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Bias and Social Aspects in Search and Recommendation - First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, Proceedings (Paperback, 1st ed. 2020)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
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R1,539
Discovery Miles 15 390
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Ships in 10 - 15 working days
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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.
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