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Xing-Yuan Mao

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Preprint Sep 2026

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

MIMA is proposed, a Multi-Interest recommendation framework built on Multi-positive exclusive Assignment that groups items co-occurring within the same request into a positive set, generates complementary interests with a causal Transformer decoder, and exclusively assigns each positive to supervise a distinct interest...

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

This work proposes Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for recommendation and integrates these views through contrastive learning to generate robust and accurate recommendations.

Yuwen Liu, Lian-Yong Qi, Xu-Cheng Zhou et al. · 0 citations

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