![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
BIAS 2023: Dublin, Ireland
- Ludovico Boratto
, Stefano Faralli
, Mirko Marras
, Giovanni Stilo
:
Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers. Communications in Computer and Information Science 1840, Springer 2023, ISBN 978-3-031-37248-3 - Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex:
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. 1-16 - Abhishek Mandal
, Susan Leavy
, Suzanne Little
:
Measuring Bias in Multimodal Models: Multimodal Composite Association Score. 17-30 - Zahid Irfan, Fergal McCaffery, Róisín Loughran:
Evaluating Fairness Metrics. 31-41 - Kuanyi Zhang, Min Xie, Yi Zhang, Haixian Zhang:
Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems. 42-58 - Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi
, Fabio Mercorio, Mario Mezzanzanica:
Preserving Utility in Fair Top-k Ranking with Intersectional Bias. 59-73 - Yinxiao Li:
Mitigating Position Bias in Hotels Recommender Systems. 74-84 - Sheetal Borar
, Hilde J. P. Weerts
, Binyam Gebre
, Mykola Pechenizkiy
:
Improving Recommender System Diversity with Variational Autoencoders. 85-99 - Shaina Raza, Syed Raza Bashir, Sneha, Urooj Qamar:
Addressing Biases in the Texts Using an End-to-End Pipeline Approach. 100-107 - Hamed Loghmani
, Hossein Fani
:
Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation. 108-118 - 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. 119-133 - Bruno Scarone, Ricardo Baeza-Yates, Erik Bernhardson:
Understanding Search Behavior Bias in Wikipedia. 134-146 - Sanne Vrijenhoek:
Do You MIND? Reflections on the MIND Dataset for Research on Diversity in News Recommendations. 147-154 - Fouzi Harrag
, Chaima Mahdadi, Amina Nourhane Ziad:
Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation. 155-168 - 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. 169-175
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.