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View Code? Open in Web Editor NEWUsing SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"
Home Page: https://arxiv.org/pdf/1909.04276.pdf
Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"
Home Page: https://arxiv.org/pdf/1909.04276.pdf
In the original paper the normalization is made with items in one session. While when implementing the algorithm we need to pad some positions to make the length of sessions the same in one batch. So when calculating the l2 norm the items at irrelative positions should be ignored. The author also found adding positional embedding is a little helpful. By the way, I'm looking forward for your number on Star GNN. Now I have reproduced the number for yoochoose1/64 while I can't get the same number on diginetica. Thank you a lot!
May I ask whether this paper has been published?
I didn't find the description of the target-aware part of the code in the original article, but this part can really improve the effect of the model. Could you please tell me what specific methods are used in this part and is there any reference to this method? If so, I want to read it and further study it. Thank you very much.
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