FairCDR

This is the PyTorch implementation for our paper "FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation."

Datasets

The dataset used can be found at: https://tianchi.aliyun.com/dataset/408.
The data preprocessing method is described in detail here: https://github.com/datawhalechina/torch-rechub/tree/main/examples/ranking/data/ali-ccp.
The dataset is divided into three domains (1, 2, 3) based on the "Context Features."

Environments

• python==3.8
• pytorch>=1.10.0
• numpy>=1.17.2
• scipy>=1.6.0

Running the Codes

To obtain user and item representations for the target and source domains, run the following command:

python main.py --train_type="pretrain" 

To perform fairness and user preferences transfer for Cross-Domain Recommendation, run the following command:

python main.py --train_type="train"