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 [email protected].

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}
}