SSG

pytorch implementation for SSG "Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation" accepted as long paper in the research track of CIKM 2020

Packages

• python 3.6.9
• torch 1.5.0
• numpy 1.16.1

Run

Take running SSG on the Amazon Instrument dataset as an example

• Step1: Create a folder named "dataset" outside this folder and download the Google pretrained word embeddings. Then create a subfolder named "Instrument" and download the json file from the Amamzon dataset into the subfolder
• Step2: python load.py ; python preprocess.py ; python get_graph.py, to preprocesses the raw dataset
• Step3: python train.py, to train our model and report its performance