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Dynamic popularity-aware contrastive learning for recommendation

License: MIT License

Python 3.14% Jupyter Notebook 96.86%
recommender-system personalization contrastive-learning deep-learning

dynamic-popularity-aware-recommendation's Introduction

Data Download

Data source: https://tianchi.aliyun.com/competition/entrance/231522/information

Download the dataset to the data folder then unzip it.

Environment setup

conda env create -f environment.yaml

conda activate DPACL4Rec

pip install -r requirements.txt  -i http://mirrors.aliyun.com/pypi/simple/

Running

Model training: run.ipynb

Model evaluation: evaluate.ipynb

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