Awesome

TransNets

This is my implementation for the paper：
Rose Catherine, William Cohen. "TransNets: Learning to Transform for Recommendation." (2017).

Environments

• python 3.8
• pytorch 1.70

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

Running

Train and evaluate the model

• TransNet

python main.py

• TransNet-Ext

Arguments --user_count and --item_count are necessary and you can get their values from output of python preprocess.py

python main.py --extension True --user_count 5541 --item_count 3568