feiyang / metaembedding Goto Github PK
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"
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tandychao caotianwei andrewzrant raven4752 maosengshulei bikong2 bensonku sunfu2016 sheldonzhang swan815 gy910210 zhouyonglong carriehua qianrenjian yaosheng42 minghao2016 nnkkmto helenligit zfnwong liuzhuocpp qshuang123 landandland hsuchengmath mili-yini verazjy hlyu-hit l0z1k shubhampachori12110095 nonames666 crystal22 csuwwf xiaoqingwangmetaembedding's Issues
In the data, the Three pickle files are the same(test_oneshot_a(b,c).pkl)
在论文里为什么只训一个epoch， 而不是训到收敛呢？
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
Hi，想问下论文里提到的Online Training是怎么个流程呢
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。
ME_loss 这个变量没用到？
是这个地方应该是Me_loss?
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