Jiangxia Cao
4 papers · Latest:
Information Retrieval
Break the Inaccessible Boundary: Distilling Post-Conversion Content for User Retention Modeling
OCARM uses a two-stage distillation framework to leverage post-conversion content for improved user retention prediction in real-time bidding without feature leakage.
2604.25839
Information RetrievalHarmonizing Generative Retrieval and Ranking in Chain-of-Recommendation
RecoChain unifies generative retrieval and ranking in a single Transformer, bridging the gap between generation and ranking for improved Top-K recommendations.
2604.25787
Information RetrievalPersonalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
NF-NPCDR improves cross-domain recommendation for cold-start users by modeling personalized multi-interest and common preferences with a novel neural process.
2604.25732
Natural Language ProcessingKwai Summary Attention Technical Report
Kwai Summary Attention (KSA) reduces LLM long-context modeling costs by compressing historical contexts into learnable summary tokens.
2604.24432
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