Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems-Reference-Cited by-同舟云学术

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Zhou Guanglin¹^ORCID,Huang Chengkai¹^ORCID,Chen Xiaocong¹^ORCID,Xu Xiwei²^ORCID,Wang Chen²^ORCID,Zhu Liming²^ORCID,Yao Lina³^ORCID

Affiliation:

1. The University of New South Wales, Sydney, NSW, Australia

2. Data61, CSIRO, Eveleigh, Australia

3. Data61, CSIRO & The University of New South Wales, Eveleigh & Sydney, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614823

Reference45 articles.

1. Elias Bareinboim , Juan David Correa , Duligur Ibeling, and Thomas F. Icard. 2022 . On Pearl's Hierarchy and the Foundations of Causal Inference. Probabilistic and Causal Inference ( 2022). Elias Bareinboim, Juan David Correa, Duligur Ibeling, and Thomas F. Icard. 2022. On Pearl's Hierarchy and the Foundations of Causal Inference. Probabilistic and Causal Inference (2022).

2. Causal embeddings for recommendation

3. A sampling approach to Debiasing the offline evaluation of recommender systems

4. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.

5. Xiang Deng and Zhongfei Zhang . 2021 . Comprehensive Knowledge Distillation with Causal Intervention . Advances in Neural Information Processing Systems , Vol. 34 (2021). Xiang Deng and Zhongfei Zhang. 2021. Comprehensive Knowledge Distillation with Causal Intervention. Advances in Neural Information Processing Systems, Vol. 34 (2021).