DC2R

Paper and code

This is the code for the Paper: Dual-Channel Representation Consistent Recommender For Session-based New Item Recommendation. We have implemented our methods in Pytorch.

Usage

The code contains the datasets that has been processed, i.e., CellPhones, Grocery, yelpsmall. Then you can run the file main.py to train the model.
For example: python main.py --dataset yelpsmall

Requirements

python 3.9.12; torch 1.12.0+cu113; recbole 1.1.1