研究课题是LLM和推荐系统结合，有没有好的idea？ - 知乎
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在llm-esr的推理过程中，免除了检索增强的自蒸馏模块，因为不需要辅助损失。因此，我们遵循双视图建模过程，通过方程（5）进行最终推荐。此外，由于语义嵌入层可以提前缓存，避免了对llms的调用，从而防止了额外的推理成本。由于空间有限，算法位于附录a.2中，以更清晰。
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