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Retention models can now harness the power of post-conversion content without risking feature leakage, leading to more accurate predictions of user engagement.
Diffusion models can now generate user preferences for multi-behavior sequential recommendation, outperforming traditional methods by better capturing uncertainty and enabling more diverse recommendations.
