AI RESEARCH
Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
arXiv CS.AI
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ArXi:2603.24750v1 Announce Type: cross Online Health Communities connect patients for peer, but users face a discovery challenge when they have minimal prior interactions to guide personalization. We study recommendation under extreme interaction sparsity in a survey driven setting where each user provides a 16 dimensional intake vector and each group has a structured feature profile.