Introduction

• This is the implementation of paper

Nhu-Thuat Tran and Hady W. Lauw (2022). Aligning Dual Disentangled User Representations from Ratings and Textual Content. In Proceedings of 28th ACM SIGKDD, Washington, DC, August 14-18, 2022.

Dataset

• Prepare your own dataset as sample and place under data folder

Create virtual environment

• Python version: 3.7.5
• Create your project environment with virtualenv: virtualenv env --python=path_to_your_python (remove --python option if your default Python version is 3.7.5).
• Install required libraries in requirements.txt.

Run the code

• Create a bash file run.sh
• Run command bash run.sh

Citation

If you want to use our codes in your research, please cite:

@inproceedings{ADDVAE:2022,
    author = {Tran, Nhu-Thuat and Lauw, Hady W.},
    title = {Aligning Dual Disentangled User Representations from 
             Ratings and Textual Content},
    year = {2022},
    booktitle = {Proceedings of the 28th ACM SIGKDD Conference on 
                 Knowledge Discovery and Data Mining},
    pages = {1798–1806}
    location = {Washington DC, USA}
}