winterant / DeepCoNN

An implementation of DeepCoNN using pytorch for the paper：Lei Zheng, Vahid Noroozi, and Philip S Yu. 2017. Joint deep modeling of users and items using reviews for recommendation. In WSDM. ACM, 425-434.

DeepCoNN

The code implementation for the paper：
Lei Zheng, Vahid Noroozi, and Philip S Yu. 2017. Joint deep modeling of users and items using reviews for recommendation. In WSDM. ACM, 425-434.

Environments

• python 3.8
• pytorch 1.70

Dataset

You need to prepare the following documents:

1. dataset(data/Digital_Music_5.json.gz)
   Download from http://jmcauley.ucsd.edu/data/amazon (Choose Digital Music)
   Preprocess origin dataset in json format to train.csv,valid.csv and test.csv.

python preprocess.py

2. Word Embedding(embedding/glove.6B.50d.txt)
   Download from https://nlp.stanford.edu/projects/glove

Running

Train and evaluate the model:

python main.py