BIAS @ ECIR 2023 - Call for Participation - April 2 2023, 9:00-17:15 GMT.
Mirko Marras
We are delighted to invite you to the Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023) held as part of the 45th European Conference on Information Retrieval (ECIR 2023).
Date: April 2, 2023 - 9:00 17:15 GMT, in Dublin, Ireland (with support for remote attendance)
Program: https://biasinrecsys.github.io/ecir2023/#program
The registration (in-presence or online) to the BIAS workshop is managed by the ECIR Main Conference at http://ecir2023.org/attending/registration.html?v=1.43.
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Workshop Aims and Scope
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Creating efficient and effective search and recommendation algorithms has been the main objective of industry practitioners and academic researchers over the years. However, recent research has shown how these algorithms trained on historical data lead to models that might exacerbate existing biases and generate potentially negative outcomes. Defining, assessing and mitigating these biases throughout experimental pipelines is a primary step for devising search and recommendation algorithms that can be responsibly deployed in real-world applications. This workshop aims to collect novel contributions in this field and offer a common ground for interested researchers and practitioners.
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Keynote Speaker
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- Keynote Talk entitled "Fair Ranking Systems: What's Missing?" by Dr. Asia J. Biega from Max Planck Institute for Security and Privacy - MPI-SP (Germany).
- Keynote Talk entitled "Counterfactual Learning to Rank for Search and Recommendation" by Dr. Harrie Oosterhuis from Radboud University (The Netherlands).
- Keynote Talk entitled "Algorithmic Impact Practices in Product Development" by Dr. Henriette Cramer from Spotify (USA).
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Accepted Papers
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Paper Session I : Biases Exploration and Assessment
- A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations - Dominik Kowald; Gregor Mayr; Markus Schedl; Elisabeth Lex.
- Multimodal Bias in Multimodal Models: Multimodal Composite Association Score - Abhishek Mandal; Susan Leavy; Suzanne Little.
- Evaluating Fairness Metrics - Zahid Irfan; Fergal McCaffery; Roisin Loughran.
Paper Session II : Mitigation Strategies against Biases
- Implicit Feedback for User Mainstreaminess Estimation and Bias Detection in Recommender Systems - Kuanyi Zhang; Min Xie; Yi Zhang; Haixian Zhang.
- Preserving Utility in Fair Top-k Ranking with Intersectional Bias - Nicola Alimonda; Alessandro Castelnovo; Riccardo Crupi; Fabio Mercorio; Mario Mezzanzanica.
- Mitigating Position Bias in Hotels Recommender Systems - Yinxiao Li.
- Improving Recommender System Diversity with Variational Autoencoders - Sheetal Borar; Hilde Weerts; Binyam Gebre; Mykola Pechenizkiy.
- Addressing Biases in the Texts using an End-to-End Pipeline Approach - Shaina Raza; Syed Raza Bashir; Sneha Sneha; Urooj Qamar; Usman Naseem.
- Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation - Hamed Loghmani; Hossein Fani.
Paper Session III : Biases in Newly Emerging Domains of Application
- How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment - Vivek Kumar; Giacomo Medda; Diego Reforgiato Recupero; Daniele Riboni; Rim Helaoui; Gianni Fenu.
- Understanding Search Behavior Bias in Wikipedia - Bruno Scarone; Ricardo Baeza-Yates; Erik Bernhardson.
- Do you MIND? Reflections on the MIND Dataset for Research on Diversity in News Recommendations - Sanne Vrijenhoek.
Paper Session IV : Novel Perspectives and Conceptualizations of Biases
- Detecting and Measuring Social Bias of Arabic Generative Models in Search and Recommendation - Fouzi Harrag; Chaima Mahdadi; Amina Norhane Ziad.
- Discussing Open Challenges for Fairness Analysis in User Profiling with Graph Neural Networks - Erasmo Purificato; Ernesto William De Luca
- Search Neutrality - Milo Phillips-Brown.
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Workshop Chairs
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Ludovico Boratto
https://www.ludovicoboratto.com/
University of Cagliari, Cagliari, Italy
Email: ludovico...@acm.org
Stefano Faralli
Sapienza University of Rome, Rome, Italy
Email: stefano...@uniroma1.it
Mirko Marras
University of Cagliari, Cagliari, Italy
Email: mirko....@acm.org
Giovanni Stilo
University of L’Aquila, L’Aquila, Italy
Email: giovann...@univaq.it
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Contacts
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For general enquiries on the workshop, please send an email to ludovico...@acm.org, stefano...@uniroma1.it, mirko.marras@acm.org, and giovann...@univaq.it.
