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Found 2 papers, 2 papers with code
Learning Meta-path-aware Embeddings for Recommender Systems
Heterogeneous information networks (HINs) have become a popular tool to capture complicated user-item relationships in recommendation problems in recent years.
Pareto Optimality for Fairness-constrained Collaborative Filtering
To balance overall recommendation performance and fairness, prevalent solutions apply fairness constraints or regularizations to enforce equality of certain performance across different subgroups.
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