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View Code? Open in Web Editor NEWCodes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
您好,感谢开源;
我正在做冷启动相关的工作,想请教您为什么实验设置成只train 一个epoch,正常冷启动的场景应该是训练到收敛?您有尝试过训练到收敛之后的结果吗?
thx
论文里提到的“Note that Meta-Embedding not only can be trained with offline data set, but also can be trained online with minor modifications by using the emerging new IDs as the training examples.”
如果想在近实时的kafka样本上进行训练Meta网络,应该怎么个“minor modifications”呢,有时间的话还不望赐教。
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