Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation-Reference-Cited by-同舟云学术

Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Park Jin-Duk¹^ORCID,Li Siqing²^ORCID,Cao Xin²^ORCID,Shin Won-Yong¹^ORCID

Affiliation:

1. Yonsei University, Seoul, Republic of Korea

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

Funder

National Research Foundation of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599292

Reference51 articles.

1. Rianne van den Berg , Thomas N Kipf , and Max Welling . 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 ( 2017 ). Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017).

2. Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential recommendation with graph neural networks. In SIGIR. 378--387. Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential recommendation with graph neural networks. In SIGIR. 378--387.

3. Lei Chen Le Wu Richang Hong Kun Zhang and Meng Wang. 2020b. Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach. In AAAI. 27--34. Lei Chen Le Wu Richang Hong Kun Zhang and Meng Wang. 2020b. Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach. In AAAI. 27--34.

4. Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding and Yaliang Li. 2020a. Simple and deep graph convolutional networks. In ICML. 1725--1735. Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding and Yaliang Li. 2020a. Simple and deep graph convolutional networks. In ICML. 1725--1735.

5. Zhengyu Chen Sibo Gai and Donglin Wang. 2019. Deep tensor factorization for multi-criteria recommender systems. In BigData. 1046--1051. Zhengyu Chen Sibo Gai and Donglin Wang. 2019. Deep tensor factorization for multi-criteria recommender systems. In BigData. 1046--1051.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

3. Matrix Completion of Adaptive Jumping Graph Neural Networks for Recommendation Systems;IEEE Access;2023