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Personalized recommendation depends on learning semantic and collaborative relations among items from online content and user interactions. Generative recommendation (GR) offers a promising paradigm by autoregressively generating discrete semantic IDs (SIDs) of items. However, randomly initialized SID token embeddings...
Accurate traffic flow prediction is fundamental to Intelligent Transportation Systems (ITS). However, traffic dynamics exhibit inherent multi-scale heterogeneity, where stable global trends are often masked by stochastic local fluctuations. Existing methods struggle to reconcile these conflicting resolutions, leading t...
Experiments show that MoRAL consistently outperforms statistical and LLM-based baselines under the GEO-BLEU metric, improving the mean score over the strongest baseline by 5.82% and achieving a 2.6 times reduction in per-user inference time relative to recent LLM baselines using the same backbone.
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