Preprint
Aug 2026
SetMIR: Multi-Interest Retrieval as Set Prediction
Embedding-based retrieval is at the core of industrial recommender systems, but a single user embedding is often too limited to capture a user's diverse interests. Multi-interest retrieval addresses this by using multiple user embeddings, yet existing methods still suffer from two issues: interest collapse, where diffe...
Xiao-Dong Liu, Cong-Fei Zhang, Hsiang-Wei Chao et al.
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