Advances in Bias and Fairness in Information Retrieval

Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers

Häftad, Engelska, 2022

AvLudovico Boratto,Stefano Faralli,Mirko Marras,Giovanni Stilo

899 kr

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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.

Produktinformation

Utgivningsdatum2022-06-19
Mått155 x 235 x 10 mm
Vikt265 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor155
FörlagSpringer International Publishing AG
ISBN9783031093159

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Hårdvara inom Data och it
E-handel inom Ekonomi och ledarskap
Artificiell intelligens inom Data och it

Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems.- Recommender Systems and Users' Behaviour Effect on Choice's Distribution and Quality.- Sequential Nature of Recommender Systems Disrupts the Evaluation Process.- Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures.- A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-box Systems: A Case Study with COVID-related Searches.- The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation.- The Unfairness of Popularity Bias in Book Recommendation.- Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches.- Analysis of Biases in Calibrated Recommendations.- Do Perceived Gender Biases in Retrieval Results affect Users’ Relevance Judgements?.- Enhancing Fairness in Classification Tasks with Multiple Variables: a Data- and Model-Agnostic Approach.- Keyword Recommendation for Fair Search.- FARGO: a Fair, context-AwaRe, Group recOmmender system.

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