Jacques Demerjian
3 papers in the PaperMetrix corpus
Papers by this author
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Critique on Natural Noise in Recommender Systems
2021 · ACM Transactions on Knowledge Discovery from Data
Recommender systems have been upgraded, tested, and applied in many, often incomparable ways. In attempts to diligently understand user behavior in certain environments, those systems have been frequently utilized in domains like e-commerce, e-learning, and …
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The Cost of Interpretability: Auditable User Representations via Archetypes
2026 · Zenodo (CERN European Organization for Nuclear Research)
Collaborative filtering embeddings underpin personalization across web platforms but are opaque: a user's dense vector cannot explain their behavioral profile to a regulator or the user themselves, and retraining produces arbitrarily rotated coordinates that defeat …
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Similarity measures for collaborative filtering recommender systems
2018
Collaborative filtering recommender systems evaluate users' ratings in order to give them better recommendations. One of the popular ways to make rating predictions is by using neighborhood-based models which rely on calculating the similarities between …