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OneModel: A Unified Foundation for Platform-Scale Multi-Scenario Ranking
The proposed OneModel, a unified framework for multi-stream final ranking, maps heterogeneous behaviors into shared event sequences, learns long-context user representations with an action-oriented backbone, and introduces scenario-aware Information Modulation to balance cross-stream transfer and stream-specific specia...
Hierarchical Latent Reasoning for LLM-based Recommendation
To further optimize the reasoning trajectory, HiLaR combines final recommendation feedback with layer-aware process rewards derived from the marginal target-likelihood gain of each state, and generally outperforms strong sequential, generative, and LLM-based recommendation baselines.