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joint-collaborative-autoencoder's Introduction

Joint-Collaborative-Autoencoder

The implementation of our paper:

Ziwei Zhu, Jianling Wang and James Caverlee. Improving Top-K Recommendation via Joint Collaborative Autoencoders. In Proceedings of WWW'19, San Francisco, May 13-17, 2019

The implementation is based on Tensorflow.

Author: Ziwei Zhu ([email protected])

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joint-collaborative-autoencoder's Issues

关于数据,及数据处理程序

您好!从您的数据处理程序看,您的数据应该没有完全提供啊,打开数据也都是用户id和对应的项目id,没有评分一栏的数据。这样的话,用不上啊。

Some questions about the 'test_model' function

Hi, thank you for your work! I have some questions about it.

  1. You don't use the validation set, do you? So the experiment only has two parts: training and testing, is it?
  2. Why the 'self.input_P_cor' and 'self.input_N_cor' in 'test_model' is '[0,0]', rather than feed it the same as ' train_model'?

I am looking forward to your reply! Thank you so much!

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