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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])

joint-collaborative-autoencoder's People

Contributors

zziwei avatar

Stargazers

Alberto Labarga avatar ZeroHot avatar  avatar Andrej Kastrin avatar mjy avatar Ramsey avatar fxwan avatar  avatar  avatar  avatar  avatar Mindaugas Zickus avatar  avatar

Watchers

James Cloos avatar  avatar

joint-collaborative-autoencoder's Issues

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!

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。

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