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Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction
It consists of a multi-interest graph structure for capturing long-term user behavior, a multi-scenario heterogeneous sequence model for modeling short-term information, then an adaptive fusion mechanism to fused information from long-term and short-term behaviors.
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