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ComiRec: multi-interest extraction with controllable diverse retrieval

Contribution grade

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

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Used dynamic routing or self-attention to build multiple user-interest vectors, retrieved candidates per interest and greedily aggregated them with a tunable relevance–diversity objective.

Scientific scope

Used dynamic routing or self-attention to build multiple user-interest vectors, retrieved candidates per interest and greedily aggregated them with a tunable relevance–diversity objective. Routing and attention are alternative implementations in one framework, not separate achievements. Builds on MIND, capsule routing and ANN libraries. Greedy aggregation is not a general global optimum; relevance–diversity trade-offs and offline cloud deployment do not prove universal online satisfaction gains.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Routing and attention are alternative implementations in one framework, not separate achievements. Builds on MIND, capsule routing and ANN libraries. Greedy aggregation is not a general global optimum; relevance–diversity trade-offs and offline cloud deployment do not prove universal online satisfaction gains.

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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