Abstract is missing.
- A Study on Accuracy, Miscalibration, and Popularity Bias in RecommendationsDominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex. 1-16 [doi]
- Measuring Bias in Multimodal Models: Multimodal Composite Association ScoreAbhishek Mandal, Susan Leavy, Suzanne Little. 17-30 [doi]
- Evaluating Fairness MetricsZahid Irfan, Fergal McCaffery, Róisín Loughran. 31-41 [doi]
- Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender SystemsKuanyi Zhang, Min Xie, Yi Zhang 0001, Haixian Zhang. 42-58 [doi]
- Preserving Utility in Fair Top-k Ranking with Intersectional BiasNicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica. 59-73 [doi]
- Mitigating Position Bias in Hotels Recommender SystemsYinxiao Li. 74-84 [doi]
- Improving Recommender System Diversity with Variational AutoencodersSheetal Borar, Hilde J. P. Weerts, Binyam Gebre, Mykola Pechenizkiy. 85-99 [doi]
- Addressing Biases in the Texts Using an End-to-End Pipeline ApproachShaina Raza, Syed Raza Bashir, Sneha, Urooj Qamar. 100-107 [doi]
- Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team FormationHamed Loghmani, Hossein Fani. 108-118 [doi]
- How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking AssessmentVivek Kumar 0007, Giacomo Medda, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui, Gianni Fenu. 119-133 [doi]
- Understanding Search Behavior Bias in WikipediaBruno Scarone, Ricardo Baeza-Yates, Erik Bernhardson. 134-146 [doi]
- Do You MIND? Reflections on the MIND Dataset for Research on Diversity in News RecommendationsSanne Vrijenhoek. 147-154 [doi]
- Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and RecommendationFouzi Harrag, Chaima Mahdadi, Amina Nourhane Ziad. 155-168 [doi]
- What Are We Missing in Algorithmic Fairness? Discussing Open Challenges for Fairness Analysis in User Profiling with Graph Neural NetworksErasmo Purificato, Ernesto William De Luca. 169-175 [doi]