IID-Nav enables progressive retrieval in large-scale recommenders by treating it as iterative goal-driven graph traversal with recursive state evolution supporting unlimited depth without rising inference cost.
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cs.IR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
POEM constructs dynamic partial-order sequences from multi-task ranking scores to enhance real-time sequential recommendation, reporting 0.2% watch-time lifts when deployed on Kuaishou.
citing papers explorer
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From Extraction to Navigation: Progressive Retrieval with Indirectly Infinite Depth
IID-Nav enables progressive retrieval in large-scale recommenders by treating it as iterative goal-driven graph traversal with recursive state evolution supporting unlimited depth without rising inference cost.
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POEM: Partial-Order Enhanced Real-Time Sequential Modeling for Recommendation
POEM constructs dynamic partial-order sequences from multi-task ranking scores to enhance real-time sequential recommendation, reporting 0.2% watch-time lifts when deployed on Kuaishou.