Causal Disentanglement for Semantics-Aware Intent Learning in
Recommendation

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation

5 February 2022

Xiang-jian Wang

Peng Cui

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Papers citing "Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation"

9 / 9 papers shown

Title
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey MD. Rashidunnabi Kailash A. Hambarde Hugo Proença OOD CML 53 0 0 26 May 2025
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity Shiyin Tan Dongyuan Li Renhe Jiang Zhen Wang Xingtong Yu Manabu Okumura CML 163 0 0 20 May 2025
Review of Explainable Graph-Based Recommender Systems Thanet Markchom Huizhi Liang James Ferryman XAI 112 0 0 31 Jul 2024
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation Jiajie Zhu Yan Wang Feng Zhu Zhu Sun CML 167 2 0 17 Apr 2024
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review Siamak Farshidi Kiyan Rezaee Sara Mazaheri Amir Rahimi Ali Dadashzadeh Morteza Ziabakhsh S. Eskandari S. Jansen 67 6 0 05 Aug 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis Vito Walter Anelli Daniele Malitesta Claudio Pomo Alejandro Bellogín Tommaso Di Noia E. Sciascio 93 11 0 01 Aug 2023
Learning a Structural Causal Model for Intuition Reasoning in Conversation Hang Chen Bingyu Liao Jing Luo Wenjing Zhu Xinyu Yang LRM 119 13 0 28 May 2023
Reinforced Path Reasoning for Counterfactual Explainable Recommendation Xiang-jian Wang Qian Li Dianer Yu Guandong Xu CML LRM 70 16 0 14 Jul 2022
Be Causal: De-biasing Social Network Confounding in Recommendation Qian Li Xiang-jian Wang Guandong Xu CML 96 56 0 17 May 2021