A standard attention-fusion plus Transformer sequence model is applied to short-video recommendation, with claimed gains over weak baselines and no reproducible artifacts.
Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining
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Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms
A standard attention-fusion plus Transformer sequence model is applied to short-video recommendation, with claimed gains over weak baselines and no reproducible artifacts.