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The rise of online multi-modal sharing platforms like TikTok and YouTube has enabled personalized recommender systems to incorporate multiple modalities (such as visual, textual, and acoustic) into user representations.
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Vbpr: visual bayesian personalized ranking from implicit feedback
R. He and J. McAuley · 2016
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J. Chen, H. Zhang, X. He, L. Nie, W. Liu, and T.-S. Chua · 2017
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Variational autoencoders for collaborative filtering
D. Liang, R. G. Krishnan, M. D. Hoffman, and T. Jebara · 2018
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X. Wang, X. He, M. Wang, F. Feng, and T.-S. Chua · 2019
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Graph-refined convolutional network for multimedia recommendation with implicit feedback
Y. Wei, X. Wang, L. Nie, X. He, and T.-S. Chua · 2020
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Recommender systems based on generative adversarial networks: A problem-driven perspective
M. Gao, J. Zhang, J. Yu, J. Li, J. Wen, and Q. Xiong · 2021
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Causalrec: Causal inference for visual debiasing in visually-aware recommendation
R. Qiu, S. Wang, Z. Chen, H. Yin, and Z. Huang · 2021
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Hierarchical user intent graph network for multimedia recommendation
Y. Wei, X. Wang, X. He, L. Nie, Y. Rui, and T.-S. Chua · 2021
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J. Wu, X. Wang, F. Feng, X. He, L. Chen, J. Lian, and X. Xie · 2021
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J. Yu, H. Yin, J. Li, Q. Wang, N. Q. V. Hung, and X. Zhang · 2021
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Contrastive learning for sequential recommendation
X. Xie, F. Sun, Z. Liu, S. Wu, J. Gao, J. Zhang, B. Ding, and B. Cui · 2022
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Z. Yi, X. Wang, I. Ounis, and C. Macdonald · 2022
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Adaptive graph contrastive learning for recommendation
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Diffkg: Knowledge graph diffusion model for recommendation
Y. Jiang, Y. Yang, L. Xia, and C. Huang · 2023
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Diffusion augmentation for sequential recommendation
Q. Liu, F. Yan, X. Zhao, Z. Du, H. Guo, R. Tang, and F. Tian · 2023
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Intent contrastive learning for sequential recommendation
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Improving graph collaborative filtering with neighborhood-enriched contrastive learning
Z. Lin, C. Tian, Y. Hou, and W. X. Zhao · 2022
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High-resolution image synthesis with latent diffusion models
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Self-supervised learning for multimedia recommendation
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W. Wang, Y. Xu, F. Feng, X. Lin, X. He, and T.-S. Chua · 2023
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Conditional denoising diffusion for sequential recommendation
Y. Wang, Z. Liu, L. Yang, and P. S. Yu · 2023
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Multi-modal self-supervised learning for recommendation
W. Wei, C. Huang, L. Xia, and C. Zhang · 2023
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Lightgt: A light graph transformer for multimedia recommendation
Y. Wei, W. Liu, F. Liu, X. Wang, L. Nie, and T.-S. Chua · 2023
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Bootstrap latent representations for multi-modal recommendation
X. Zhou, H. Zhou, Y. Liu, Z. Zeng, C. Miao, P. Wang, Y. You, and F. Jiang · 2023
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Promptmm: Multi-modal knowledge distillation for recommendation with prompt-tuning
W. Wei, J. Tang, Y. Jiang, L. Xia, and C. Huang · 2024
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