Paper - [ArXiv]
- CaDRec: Contextualized and Debiased Recommender Model., SIGIR 2024.
python Main.py - Configures are given by Constants.py and Main.py
- If you have any problem, please feel free to contact me at kaysenn@163.com.
pip install -r requirement.txt 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. 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} }