jesse-csj/tensorflow_practice

推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

tensorflow_practice's Issues

请问下deepFM里面的fm部分需要乘xv吗

TensorFlow_Practice/ctr_of_recommendation/DeepFM_model/DeepFM.py

Line 90 in 1c578bc

self.squared_features_emb = tf.square(self.embeddings)

rt，公式第二部分似乎需要乘以下xv，在有数值特征的情况下，这部分的xv不为1，请问下代码第90行的
self.squared_features_emb = tf.square(self.embeddings)
这部分还需要乘以下xv吗

如何把CTR预测模型换成推荐系统的模型

数据集连接过期了

你好 百度云盘的数据集无法下载了 能否提供其他的方式呢？

Performance issues in /ctr_of_recommendation/Wide&Deep_Demo (by P3)

Hello! I've found a performance issue in /ctr_of_recommendation/Wide&Deep_Demo: batch() should be called before map(), which could make your program more efficient. Here is the tensorflow document to support it.

Detailed description is listed below:

• /wide_component.py: dataset.batch(batch_size)(here) should be called before .map(parse_csv, num_parallel_calls=5)(here).
• /wide_deep.py: dataset.batch(batch_size)(here) should be called before .map(parse_csv, num_parallel_calls=5)(here).

Besides, you need to check the function called in map()(e.g., parse_csv called in .map(parse_csv, num_parallel_calls=5)) whether to be affected or not to make the changed code work properly. For example, if parse_csv needs data with shape (x, y, z) as its input before fix, it would require data with shape (batch_size, x, y, z).

Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.

数据集处理&数据集问题

DeepFM模型请问下您用的是criteo的数据集吗？我看您上面的train和test的数据集和criteo上的数据集格式不一样，如果是用的criteo的数据集，请问您是怎么处理的？如果不是请问您用的是什么数据集？