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BIAS
2020
2023
2020
2023
Keyphrases
Publications
2023
Dominik Kowald
,
Gregor Mayr
,
Markus Schedl
,
Elisabeth Lex
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations.
BIAS
(2023)
Kuanyi Zhang
,
Min Xie
,
Yi Zhang
,
Haixian Zhang
Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems.
BIAS
(2023)
Erasmo Purificato
,
Ernesto William De Luca
What Are We Missing in Algorithmic Fairness? Discussing Open Challenges for Fairness Analysis in User Profiling with Graph Neural Networks.
BIAS
(2023)
Yinxiao Li
Mitigating Position Bias in Hotels Recommender Systems.
BIAS
(2023)
Abhishek Mandal
,
Susan Leavy
,
Suzanne Little
Measuring Bias in Multimodal Models: Multimodal Composite Association Score.
BIAS
(2023)
Vivek Kumar
,
Giacomo Medda
,
Diego Reforgiato Recupero
,
Daniele Riboni
,
Rim Helaoui
,
Gianni Fenu
How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment.
BIAS
(2023)
Sheetal Borar
,
Hilde J. P. Weerts
,
Binyam Gebre
,
Mykola Pechenizkiy
Improving Recommender System Diversity with Variational Autoencoders.
BIAS
(2023)
Shaina Raza
,
Syed Raza Bashir
,
Sneha
,
Urooj Qamar
Addressing Biases in the Texts Using an End-to-End Pipeline Approach.
BIAS
(2023)
Nicola Alimonda
,
Alessandro Castelnovo
,
Riccardo Crupi
,
Fabio Mercorio
,
Mario Mezzanzanica
Preserving Utility in Fair Top-k Ranking with Intersectional Bias.
BIAS
(2023)
Sanne Vrijenhoek
Do You MIND? Reflections on the MIND Dataset for Research on Diversity in News Recommendations.
BIAS
(2023)
Hamed Loghmani
,
Hossein Fani
Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation.
BIAS
(2023)
Zahid Irfan
,
Fergal McCaffery
,
Róisín Loughran
Evaluating Fairness Metrics.
BIAS
(2023)
Fouzi Harrag
,
Chaima Mahdadi
,
Amina Nourhane Ziad
Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation.
BIAS
(2023)
Bruno Scarone
,
Ricardo Baeza-Yates
,
Erik Bernhardson
Understanding Search Behavior Bias in Wikipedia.
BIAS
(2023)
volume 1840, 2023
Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers
BIAS
1840 (2023)
2022
Davide Azzalini
,
Elisa Quintarelli
,
Emanuele Rabosio
,
Letizia Tanca
FARGO: A Fair, Context-AwaRe, Group RecOmmender System.
BIAS
(2022)
Dominik Kowald
,
Emanuel Lacic
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems.
BIAS
(2022)
Carlos Rojas
,
David Contreras
,
Maria Salamó
Analysis of Biases in Calibrated Recommendations.
BIAS
(2022)
Hossein A. Rahmani
,
Yashar Deldjoo
,
Ali Tourani
,
Mohammadmehdi Naghiaei
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation.
BIAS
(2022)
Klara Krieg
,
Emilia Parada-Cabaleiro
,
Markus Schedl
,
Navid Rekabsaz
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?
BIAS
(2022)
Binh Le
,
Damiano Spina
,
Falk Scholer
,
Hui Chia
A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-Box Systems: A Case Study with COVID-Related Searches.
BIAS
(2022)
Mohammadmehdi Naghiaei
,
Hossein A. Rahmani
,
Mahdi Dehghan
The Unfairness of Popularity Bias in Book Recommendation.
BIAS
(2022)
Ali Shirali
Sequential Nature of Recommender Systems Disrupts the Evaluation Process.
BIAS
(2022)
Harshit Mishra
,
Sucheta Soundarajan
Keyword Recommendation for Fair Search.
BIAS
(2022)
Anastasiia Klimashevskaia
,
Mehdi Elahi
,
Dietmar Jannach
,
Christoph Trattner
,
Lars Skjærven
Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches.
BIAS
(2022)
Giordano d'Aloisio
,
Giovanni Stilo
,
Antinisca Di Marco
,
Andrea D'Angelo
Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach.
BIAS
(2022)
Julia Neidhardt
,
Mete Sertkan
Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures.
BIAS
(2022)
Naieme Hazrati
,
Francesco Ricci
The Impact of Recommender System and Users' Behaviour on Choices' Distribution and Quality.
BIAS
(2022)
volume 1610, 2022
Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers
BIAS
1610 (2022)
2021
Michael Färber
,
Frederic Bartscherer
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion.
BIAS
(2021)
Tobias D. Krafft
,
Martin Reber
,
Roman Krafft
,
Anna Couturier
,
Katharina Anna Zweig
Crucial Challenges in Large-Scale Black Box Analyses.
BIAS
(2021)
Yunhe Feng
,
Daniel Saelid
,
Ke Li
,
Ruoyuan Gao
,
Chirag Shah
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features.
BIAS
(2021)
Chenyu Jiang
,
Bowen Wu
,
Sanghamitra Dutta
,
Pulkit Grover
An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles.
BIAS
(2021)
Elena Beretta
,
Antonio Vetrò
,
Bruno Lepri
,
Juan Carlos De Martin
Equality of Opportunity in Ranking: A Fair-Distributive Model.
BIAS
(2021)
Francisco Guíñez
,
Javier Ruiz
,
María Ignacia Sánchez
Quantification of the Impact of Popularity Bias in Multi-stakeholder and Time-Aware Environments.
BIAS
(2021)
Toshihiro Kamishima
,
Shotaro Akaho
,
Yukino Baba
,
Hisashi Kashima
Preliminary Experiments to Examine the Stability of Bias-Aware Techniques.
BIAS
(2021)
Fabian Haak
,
Philipp Schaer
Perception-Aware Bias Detection for Query Suggestions.
BIAS
(2021)
Luisa Simões
,
Vaibhav Shah
,
João Silva
,
Nelson Rodrigues
,
Nuno Leite
,
Nuno Lopes
New Performance Metrics for Offline Content-Based TV Recommender System.
BIAS
(2021)
Mykola Makhortykh
,
Aleksandra Urman
,
Roberto Ulloa
Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines.
BIAS
(2021)
Giorgio Maria Di Nunzio
,
Alessandro Fabris
,
Gianmaria Silvello
,
Gian Antonio Susto
Incentives for Item Duplication Under Fair Ranking Policies.
BIAS
(2021)
Baris Kirdemir
,
Joseph Kready
,
Esther Mead
,
Muhammad Nihal Hussain
,
Nitin Agarwal
Examining Video Recommendation Bias on YouTube.
BIAS
(2021)
Joanna Misztal-Radecka
,
Bipin Indurkhya
When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations.
BIAS
(2021)
Bin Han
,
Chirag Shah
,
Daniel Saelid
Users' Perception of Search-Engine Biases and Satisfaction.
BIAS
(2021)
volume 1418, 2021
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
BIAS
1418 (2021)
2020
Sihem Amer-Yahia
,
Anh Tho Le
,
Eric Simon
Data Pipelines for Personalized Exploration of Rated Datasets.
BIAS
(2020)
Giannis Konstantakis
,
Gianins Promponas
,
Manthos Dretakis
,
Panagiotis Papadakos
[inline-graphic not available: see fulltext]: Exploring the Bias of Web Domains Through the Eyes of Users.
BIAS
(2020)
Emma J. Gerritse
,
Arjen P. de Vries
Effect of Debiasing on Information Retrieval.
BIAS
(2020)
Tobias D. Krafft
,
Marc P. Hauer
,
Katharina Anna Zweig
Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems.
BIAS
(2020)
Xiao Bai
,
Berkant Barla Cambazoglu
,
Francesco Gullo
,
Amin Mantrach
,
Fabrizio Silvestri
Improving News Personalization Through Search Logs.
BIAS
(2020)
volume 1245, 2020
Bias and Social Aspects in Search and Recommendation - First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, 2020, Proceedings
BIAS
1245 (2020)