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024 7 _a10.1007/978-3-030-78818-6
_2doi
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072 7 _aUN
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245 1 0 _aAdvances in Bias and Fairness in Information Retrieval
_h[electronic resource] :
_bSecond International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings /
_cedited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 171 p. 40 illus., 34 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1418
505 0 _aTowards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features -- Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion -- Users' Perception of Search-Engine Biases and Satisfaction -- Preliminary Experiments to Examine the Stability of Bias-Aware Techniques -- Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines -- Equality of Opportunity in Ranking: A Fair-Distributive Model -- Incentives for Item Duplication under Fair Ranking Policies -- Quantification of the Impact of Popularity Bias in Multi-Stakeholder and Time-Aware Environment -- When is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations -- Evaluating Video Recommendation Bias on YouTube -- An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles -- Perception-Aware Bias Detection for Query Suggestions -- Crucial Challenges in Large-Scale Black Box Analyses -- New Performance Metrics for Offline Content-based TV Recommender Systems.
520 _aThis 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. .
650 0 _aDatabase management.
650 1 4 _aDatabase Management System.
700 1 _aBoratto, Ludovico.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFaralli, Stefano.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMarras, Mirko.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aStilo, Giovanni.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030788179
776 0 8 _iPrinted edition:
_z9783030788193
830 0 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1418
856 4 0 _uhttps://doi.org/10.1007/978-3-030-78818-6
912 _aZDB-2-SCS
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