Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.

@inproceedings{xu-2024-enhancing, author = {Xiaoxiao Xu and Hao Wu and Wenhui Yu and Lantao Hu and Peng Jiang and Kun Gai}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Roy Ka-Wei Lee and Ravi Kumar and Hady Wirawan Lauw}, title = {{Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}}, pages = {453--460}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589335.3648345}, doi = {https://doi.org/10.1145/3589335.3648345} }