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Found 2 papers, 2 papers with code
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems
Factorization machines (FMs) are a powerful tool for regression and classification in the context of sparse observations, that has been successfully applied to collaborative filtering, especially when side information over users or items is available.
Privacy-Preserving Synthetic Educational Data Generation
Institutions collect massive learning traces but they may not disclose it for privacy issues.
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