| Description |
1 online resource (x, 170 pages) : illustrations (chiefly color) |
| Series |
Communications in computer and information science, 1865-0929 ; 1418 |
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Communications in computer and information science ; 1418. 1865-0929
|
| Contents |
Towards fairness-aware ranking by defining latent groups using inferred features / Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, and Chirag Shah -- Media bias everywhere? A vision for dealing with the manipulation of public opinion / Michael Färber and Frederic Bartscherer -- Users' perception of search-engine biases and satisfaction / Bin Han, Chirag Shah, and Daniel Saelid -- Preliminary experiments to examine the stability of bias-aware techniques / Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, and Hisashi Kashima -- Detecting race and gender bias in visual representation of AI on web search engines / Mykolo Makhortykh, Aleksandra Urman, and Roberto Ulloa -- Equality of opportunity in ranking : a fair-distributive model / Elena Beretta, Antonio Vetrò, Bruno Lepri, and Juan Carlos De Martin -- Incentives for item duplication under fair ranking policies / Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, and Gian Antonio Susto -- Quantification of the impact of popularity bias in multi-stakeholder and time-aware environment / Francisco Guíñez, Javier Ruiz, and María Ignacia Sánchez -- When is a recommendation model wrong? A model-agnostic tree-based approach to detecting biases in recommendations / Joanna Misztal-Radecka and Bipin Indurkhya -- Evaluating video recommendation bias on YouTube / Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, and Nitin Agarwal -- An information-theoretic measure for enabling category exemptions with an application to filter bubbles / Chenyu Jiang, Bowen Wu, Sanghamitra Dutta, and Pulkit Grover -- Perception-aware bias detection for query suggestions / Fabian Haak and Philipp Schaer -- Crucial challenges in large-scale black box analyses / Tobias D. Krafft, Martin Reber, Roman Krafft, Anna Courtier, and Katharina A. Zweig -- New performance metrics for offline content-based TV recommender systems/ Luisa Simões, Vaibhav Shah, João Silva, Nelson Rodrigues, Nuno Leite, and Nuno Lopes |
| Summary |
"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."--Provided by publisher |
| Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from resource home page (ProQuest Ebook Central, viewed February 21, 2022) |
| Subject |
Information retrieval -- Congresses
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Information filtering systems -- Congresses
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Computer algorithms -- Congresses
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Computer algorithms
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Information filtering systems
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Information retrieval
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
|
| Author |
Boratto, Ludovico, editor.
|
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Faralli, Stefano, editor.
|
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Marras, Mirko, 1992- editor.
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Stilo, Giovanni, 1977- editor.
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European Conference on IR Research (43rd : 2021 : Online)
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| ISBN |
9783030788186 |
|
3030788180 |
|
9788303078810 |
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830307881X |
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