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Found 3 papers, 2 papers with code
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
We propose a novel fairness-aware sequential recommendation task, in which a new metric, interaction fairness, is defined to estimate how recommended items are fairly interacted by users with different protected attribute groups.
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
Self-contradiction is one of the low-quality article types in Wikipedia.
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
In this work, we aim to present the holistic SR that simultaneously accommodates conventional, inductive, and transferable settings.
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