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Data Skeptic
VetenskapTeknologi

Niche vs Mainstream

34 min•18 februari 2026

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions about filter bubbles and data privacy.

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Disentanglement and Interpretability in Recommender Systems
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Collective Altruism in Recommender Systems
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Healthy Friction in Job Recommender Systems
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Fairness in PCA-Based Recommenders
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Video Recommendations in Industry
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Eye Tracking in Recommender Systems
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Cracking the Cold Start Problem
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Designing Recommender Systems for Digital Humanities
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DataRec Library for Reproducible in Recommend Systems
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