Query-based recommendation separates expressing user needs from locating matching items. Its central learning problem is how to turn item interactions into effective retrieval requests when interaction logs do not annotate queries. We present R2QRec, which uses a fixed retrieval system to construct query supervision an...
Weixin Chen, Shu-Chang Liu, Hai-Lan Yang et al.· 0 citations
This work proposes Dynamic Index-based RECommendation with Transport-Optimized Retrieval with Transport-Optimized Retrieval (DIRECTOR), a transport-guided parallel reranking framework that consistently outperforms strong reranking baselines, achieving significant improvement in large-scale industrial recommendation sce...
SWIM (Step-Wise Integrated Measure), a list-level evaluator that models user behaviors as a finite-horizon prefix session-level survival process, and efficiently estimates continuation probabilities and utilities in parallel, satisfying strict industrial latency constraints.
Yuan Pu, Cheng-Hao Zhang, Chao Feng et al.· 0 citations
Pair-Space Generation (PSG), a reformulation that elevates the generation atom from individual items to ordered item pairs and establishes three theoretical guarantees that it is bijective with item-space generation and induces an equivalent family of sequence distributions, thus incurring no loss of expressiveness.
Chao Feng, Li Ma, Xiancheng Gao et al.· arXiv.org· 0 citations
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