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MIND: capsule-routed multi-interest retrieval at Tmall

Contribution grade

Multi-interest recommendation · Human-designed research method or resource

Reference score115,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Adapted dynamic routing to aggregate variable-length behavior embeddings into several interest vectors, using label-aware attention in training and independent nearest-neighbor queries for candidate retrieval.

Scientific scope

Adapted dynamic routing to aggregate variable-length behavior embeddings into several interest vectors, using label-aware attention in training and independent nearest-neighbor queries for candidate retrieval. Reuses capsule routing and approximate retrieval, with a shared bilinear map and randomized routing initialization. Number of interests is set by a bounded history-length heuristic, not discovered with a universal optimality certificate. Label-aware attention is removed for serving; matching-stage retrieval is distinct from target-specific ranking.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Reuses capsule routing and approximate retrieval, with a shared bilinear map and randomized routing initialization. Number of interests is set by a bounded history-length heuristic, not discovered with a universal optimality certificate. Label-aware attention is removed for serving; matching-stage retrieval is distinct from target-specific ranking.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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