Highlights
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responsible-ai-recsys-values2metrics
responsible-ai-recsys-values2metrics PublicSupplementary materials for the paper "From Stakeholder Values to Evaluation Metrics: A Co-Design Methodology for Responsible Recommender Systems in Digital Archives".
Python
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multistakeholder-archives-recsys
multistakeholder-archives-recsys PublicSupplementary materials for RecSys 2025 paper on multistakeholder value-driven evaluation metrics in digital archives. Focus group data/material from 25 cultural heritage domain experts
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user-modeling-archives-recsys
user-modeling-archives-recsys PublicSupplementary materials for UMAP 2026 paper on user modeling dimensions for recommender systems in digital archives. Focus group data/material from 18 experts.
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ma-thesis-dh-code
ma-thesis-dh-code PublicCode and material used in my master's thesis. Programmatically functional and primarily serves exploration of data. To be read in conjunction with the study, and vice versa.
Jupyter Notebook
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