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problem at fcn inputlayer：concat u_h_embedding sum pooling with AUGRU state #48

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hugstone opened this issue Jun 18, 2021 · 0 comments

hugstone commented Jun 18, 2021

hi, @mouna99 @zhougr1993

DIEN tf implement fcn inputlayer as follow：
inp = tf.concat([self.uid_batch_embedded, self.item_eb, self.item_his_eb_sum, self.item_eb * self.item_his_eb_sum, final_state2], 1)
self.build_fcn_net(inp, use_dice=True)
DIN has same impement， i have some problem, can you help me, thanks.
problem
1)want to know this design
2)what is auc lift for sum pooling and final_state2 seperately
3)can final_state2/attention-layer replace sum pooling

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