Comments (4)
And in tf.nn.sampled_softmax_loss, use num_sampled=self.neg_num * self.batch_size
is incorrect, you can refer to THUDM/ComiRec#3
from sine.
In your paper, you write we treat all the items that the user has not interacted with as negative items
But in your code, you treat the result of index.search(user_embs, topN)
as negative items
, but index.search(user_embs, topN)
may contain items that the user has interacted with
from sine.
确实有很多和论文不一致的地方。
from sine.
损失函数上,Lc在代码里被换成了另外一个,也跟论文对不上。
from sine.
Related Issues (1)
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from sine.