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"

16 / 16 papers shown

Title
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey MD. Rashidunnabi Kailash A. Hambarde Hugo Proença OOD CML 45 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 153 0 0 20 May 2025
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation Jiajie Zhu Yan Wang Feng Zhu Zhu Sun CML 138 2 0 17 Apr 2024
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation Yifan Wang Suyao Tang Yuntong Lei Weiping Song Sheng Wang Ming Zhang 71 141 0 21 Jun 2021
Be Causal: De-biasing Social Network Confounding in Recommendation Qian Li Xiang-jian Wang Guandong Xu CML 71 55 0 17 May 2021
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 79 546 0 03 Jul 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 189 3,650 0 06 Feb 2020
Learning Disentangled Representations for Recommendation Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 90 309 0 31 Oct 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 187 2,981 0 20 May 2019
The Deconfounded Recommender: A Causal Inference Approach to Recommendation Yixin Wang Dawen Liang Laurent Charlin David M. Blei CML 67 73 0 20 Aug 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 263 3,540 0 06 Jun 2018
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 117 1,259 0 07 Jun 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,876 0 03 Jul 2016
Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel Adith Swaminathan Ashudeep Singh Navin Chandak Thorsten Joachims CML 162 687 0 17 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 264 12,439 0 24 Jun 2012