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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.

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

Running

Train and evaluate the model:

python main.py

About

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.

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  • Python 100.0%