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When P=1, how is feature vector of this user trained, won't it be unchanged?

I implemented your code, but it gave only lower accuracy than the conventional method(e.g. collaborative deep learning ). So I want correct recall@M for each data. Or please tell me...

When I read your code, I have some doubts, I hope you can answer. Thank you vary much! 1、I noticed that you initialize m_V as the mean of latent variables....

Hi, I have a question in your paper "Collaborative Variational Autoencoder for Recommender Systems": How is ELBO obtained? Can you help me ?

Hi, I was trying to reproduce your results but I noticed that the `test_users` and `test_items` parameters passed to the function here: https://github.com/eelxpeng/CollaborativeVAE/blob/master/lib/cvae.py#L152 are never actually used in its body...

What are these inputs in EvaluateCorrect.m ? train_users, test_users Are they the cf-train-1/10-users.dat, cf-test-1/10-users.dat stored in data folder? if yes,repmat(num_total, 1, M) may become zeros, as some rows of test...

I am using your code for my dataset. Each article is now represented with a bag-of-words histogram vector. What does this next step mean? normalized over the maximum occurrences of...

You have used BoW and the papers says for sequential data such as text a RNN pair can be used [5]. Why did not you use this kind of RNN...