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cs.LG2025
RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations
Chang Xue, Youwei Lu, Chen Yang +1
Personalization is a core capability across consumer technologies, streaming, shopping, wearables, and voice, yet it remains challenged by sparse interactions, fast content churn,…
cs.LG2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
Qisen Cheng, Jinming Xing, Chang Xue +1
In this paper, we propose ShapTST, a framework that enables time-series transformers to efficiently generate Shapley-value-based explanations alongside predictions in a single forw…