Comments (2)
The filed is referred to feature field, it's not "field-aware". However, you can easily extend DeepFM to field-aware DeepFM. For example, considering feature filed i, you just use different embeddings of filed i (according to filed j) when computing the interaction terms between filed i and feature filed j.
from tensorflow-deepfm.
你好,老外。建议不要使用field-aware DeepFM,就像FFM和FM的比较一样,FFM有些时候效果会比FM还要差。 计算代价是一方面,另一方面违背了剃刀原理。
from tensorflow-deepfm.
Related Issues (20)
- 怎么将模型转换成pb文件呢?输出层和输入层是什么 HOT 1
- 为什么FM 侧y_first_order 里面没有增加一个单独的bias项, 只有关于feature权重的feature_bias
- 测试集为什么没有target,想xi,xv,ids就可以预测,损失怎么求得?
- 关于特征的处理问题
- question: can't multiply sequence by non-int of type 'float'
- from tensorflow.contrib.layers.python.layers import batch_norm as batch_norm
- fm输出的交叉特征个数不应该是 F*(F-1)/2吗? HOT 1
- 使用criteo数据,精度到不了80% HOT 1
- 怎么获得example的数据集
- 120万数据提示内存不足
- 我小白,感觉这行代码挺有经验,motivation是?
- first order term 这里这个 求sum的操作 的意义是什么? HOT 1
- 话说现在用TensorFlow分布式训练CTR模型怎么搞速度快啊?
- 话说CTR模型的交互类的特征是怎么做的和存储的? HOT 1
- 数据在kaggle下载不了、需要注册账号,账号又注册不了,能把数据放上去吗?或者放到百度网盘也行
- In DeepFm.py line 102, why the second order term's size is (None, K) rather than (None, )? HOT 2
- tensor flow version HOT 2
- 算法如何调参
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- 模型auc HOT 1
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from tensorflow-deepfm.