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ORCIDBIAS 2021: Lucca, Italy
- Ludovico Boratto
, Stefano Faralli, Mirko Marras, Giovanni Stilo:
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. Communications in Computer and Information Science 1418, Springer 2021, ISBN 978-3-030-78817-9 - Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah:
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features. 1-8 - Michael Färber, Frederic Bartscherer:
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion. 9-13 - Bin Han, Chirag Shah, Daniel Saelid:
Users' Perception of Search-Engine Biases and Satisfaction. 14-24 - Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, Hisashi Kashima:
Preliminary Experiments to Examine the Stability of Bias-Aware Techniques. 25-35 - Mykola Makhortykh, Aleksandra Urman, Roberto Ulloa:
Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines. 36-50 - Elena Beretta, Antonio Vetrò, Bruno Lepri, Juan Carlos De Martin:
Equality of Opportunity in Ranking: A Fair-Distributive Model. 51-63 - Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto:
Incentives for Item Duplication Under Fair Ranking Policies. 64-77 - Francisco Guíñez, Javier Ruiz, María Ignacia Sánchez:
Quantification of the Impact of Popularity Bias in Multi-stakeholder and Time-Aware Environments. 78-91 - Joanna Misztal-Radecka, Bipin Indurkhya:
When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations. 92-105 - Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal:
Examining Video Recommendation Bias on YouTube. 106-116 - Chenyu Jiang, Bowen Wu, Sanghamitra Dutta, Pulkit Grover:
An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles. 117-129 - Fabian Haak, Philipp Schaer:
Perception-Aware Bias Detection for Query Suggestions. 130-142 - Tobias D. Krafft, Martin Reber, Roman Krafft, Anna Couturier, Katharina Anna Zweig:
Crucial Challenges in Large-Scale Black Box Analyses. 143-155 - Luisa Simões, Vaibhav Shah, João Silva, Nelson Rodrigues, Nuno Leite, Nuno Lopes:
New Performance Metrics for Offline Content-Based TV Recommender System. 156-169
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last updated on 2024-09-26 01:04 CEST by the dblp team
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