S2-CAR uses Context-Aware Soft Temporal Point Process for energy-decay segmentation of user sequences followed by segment-count-adaptive multi-intent extraction, reporting consistent gains over 13 baselines on three public datasets.
arXiv preprint arXiv:2601.03259 , year=
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S2-CAR: Segmentation-Supervised Complexity-Adaptive Recommendation
S2-CAR uses Context-Aware Soft Temporal Point Process for energy-decay segmentation of user sequences followed by segment-count-adaptive multi-intent extraction, reporting consistent gains over 13 baselines on three public datasets.