RecVAE
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The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
i have dataset: train.csv 5869632 number, user:53424,item:10000; then run error; RuntimeError: CUDA out of memory. Tried to allocate 13.12 GiB (GPU 0; 23.70 GiB total capacity; 0 bytes already allocated;...
Greetings to the team! Your code is beautiful, but I'm lost in the implementation of it. I have the last version of PyTorch: https://pytorch.org/get-started/locally/ & Python - Stable (1.8.1) -...
Hi, nice work about Variational Autoencoder on recommendation. However, I am confused about the method of data split which is the same way as 2018WWW-Variational autoencoders for collaborative filtering In...
1. Added epsilon in denominator to the normalization in the encoder, because it was throwing nans otherwise. 2. Added check in NDCG calculation to skip users for which there were...