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README.md
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README.md
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# HiCore
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The implementation of Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation (EMNLP 2024)
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Our paper can be viewed at [here](https://aclanthology.org/2024.emnlp-main.86/)
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## Python venv
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We use `uv` to manage HiCore'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 HiCore/
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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/9hQIhokW)
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Place the dataset in path `HiCore/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 HiCore/
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uv run run_crslab.py -c config/crs/hicore/redial.yaml -g 0 -s 3407
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```
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