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Author

Xingyuan Mao

2 papers indexed here

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Preprint Sep 2026

MIMA: Multi-Interest Recommendation via Multi-Positive Exclusive Assignment

Multi-interest recommendation represents each user with multiple interest vectors for fine-grained candidate matching, yet it often suffers from interest collapse, where the learned interests converge to similar representations. We highlight the prevailing single-positive paradigm as one important factor behind this is...

Xing-Yuan Mao, Alin Fan, Shi-Chao Nie et al. · 0 citations
Book Open access Jul 2026

Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation

Recommendation plays a crucial role in the modern Web ecosystem, powering personalized services across e-commerce, social platforms, and online content networks. To model complex user–item interactions in such Web environments, Graph Neural Networks (GNNs) have become a popular and effective approach due to their abili...

Yuwen Liu, Lianyong Qi, Xucheng Zhou et al. · 0 citations

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