Neural Collaborative Filtering

This is our TensorFlow implementation for the paper: neural collaborative filtering (WWW 2017) Author: Xiangnan He (http://www.comp.nus.edu.sg/~xiangnan/)

2. Dataset

the dataset from original author's repo: https://github.com/hexiangnan/neural_collaborative_filtering

• train.rating
  • userId::movieId::rating::timestamp
• test.rating
  • userId::movieId::rating::timestamp
• test.negative
  • Each line is in the format: (userID,itemID)\t negativeItemID1\t negativeItemID2 ...

3. Environment Settings

We use Tensorflow keras to implement our method. The version requirement is as follows:

• tensorflow == 2.13.x
• numpy == 1.18.5
• scipy == 1.7.3
• python == 3.7.11

4. Example to run the codes.

The instruction of commands has been clearly stated in the codes.

python main.py