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CaDRec (SIGIR'24)

Paper - [ArXiv]

  • CaDRec: Contextualized and Debiased Recommender Model., SIGIR 2024.

Run

python Main.py 

Note

  • Configures are given by Constants.py and Main.py
  • If you have any problem, please feel free to contact me at kaysenn@163.com.

Dependencies

pip install -r requirement.txt 

Datasets

Three files are required: train.txt (for training), tune.txt (for tuning), and test.txt (for testing). Each line denotes an interaction including a user interacted with at times. The format is [#USER_ID]\t[#ITEM_ID]\t[#TIMES]\n, which is the same for all files. For example, 0	0	1 0	1	3 0	3	2 1	2	1 the user (ID=0) visited the item (ID=0) at 1 time, the item (ID=1) at 3 times, and the item (ID=3) at 2 times. the user (ID=1) visited the item (ID=2) at 1 time. 

Citation

If this repository helps you, please cite:

@inproceedings{wang2023cadrec, title={CaDRec: Contextualized and Debiased Recommender Model}, author={Wang, Xinfeng and Fukumoto, Fumiyo and Cui, Jin and Suzuki, Yoshimi and Li, Jiyi and Yu, Dongjin}, booktitle={Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval}, pages={405–-415}, year={2024} } 

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[SIGIR 2024] CaDRec: Contextualized and Debiased Recommender Model

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