37 lines
980 B
Markdown
37 lines
980 B
Markdown
# HyCoRec
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The implementation of HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation (ACL 2024).
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Our paper can be viewed at [here](https://aclanthology.org/2024.acl-long.138/)
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## Python venv
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We use `uv` to manage HyCoRec's python venv. You can click this [url](https://docs.astral.sh/uv/) for more details about `uv`.
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```bash
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uv venv --python 3.12
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```
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## Dataset
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The dataset will be automatically download after you run the repo's code. However, the item/entity/word edger should be built by followed command:
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```bash
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cd HyCoRec/
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uv run run_edger.py -d redial
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```
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Or download the whole dataset and item/entity/word edger from [here](https://drive.tokisakix.cn/share/EAOsjDMF)
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Place the dataset in path `HyCoRec/data`.
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## How to run
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Run the crslab framework by followed command:
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```bash
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cd HyCoRec/
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uv run run_crslab.py -c config/crs/hycorec/redial.yaml -g 0 -s 3407
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``` |