The implementation of HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation (ACL 2024).
Our paper can be viewed at here
We use uv to manage HyCoRec's python venv. You can click this url for more details about uv.
uv venv --python 3.12The dataset will be automatically download after you run the repo's code. However, the item/entity/word edger should be built by followed command:
cd HyCoRec/
uv run run_edger.py -d redialOr download the whole dataset and item/entity/word edger from here
Place the dataset in path HyCoRec/data.
Run the crslab framework by followed command:
cd HyCoRec/
uv run run_crslab.py -c config/crs/hycorec/redial.yaml -g 0 -s 3407