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Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation

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Prepare the environment

pip install -r requirements.txt

prepare dataset

Our data processing is located in ./dataset/{dataset}.ipynb. Simply modify the path and run it.

train FreLLM4Rec

train id model:

cd ./Pre_Train_Rec_Model/sasrec

python main.py --device=cuda --dataset {dataset}

run FreLLM4Rec:

sh run_main.sh

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Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation

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