ISOLATOR

This repository is the official implementation of "Unveiling the Impact of Multi-modal Content in Multi-modal Recommender Systems".

Environment

• python == 3.10.13
• pytorch == 2.0.0
• numpy == 1.23.5
• pandas == 1.5.3
• pyyaml == 6.0
• scipy == 1.11.4

Quik Start

1. Download the data under './data/' and obtain the embeddings required by the algorithm.
2. Change model inference startegy(D-ISOLATOR/U-ISOLATOR) under './src/models/vbpr.py' on 'full_sort_predict(..)' function
3. Run the following command to train and evaluate the model.

  # run the code 
  python -u main.py --model=VBPR --dataset=baby --gpu_id=0