AusRec applies meta-learning to automatically weight multiple self-supervised tasks for improved social recommendation performance.
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CGSoRec denoises social relations and reweights user social preferences to serve as conditions that steer a diffusion recommender away from popularity bias.
citing papers explorer
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Automatic Self-supervised Learning for Social Recommendations
AusRec applies meta-learning to automatically weight multiple self-supervised tasks for improved social recommendation performance.
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Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias
CGSoRec denoises social relations and reweights user social preferences to serve as conditions that steer a diffusion recommender away from popularity bias.