ArXiv TLDR

Zhaojie Liu

2 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 Retrieval

On the Equivalence Between Auto-Regressive Next Token Prediction and Full-Item-Vocabulary Maximum Likelihood Estimation in Generative Recommendation--A Short Note

This paper proves that auto-regressive next-token prediction in generative recommendation is mathematically equivalent to full-item-vocabulary maximum likelihood estimation.

2604.15739

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