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The recommender system (RS) has been an integral toolkit of online services.
Matrix factorization techniques for recommender systems
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Transfer learning via contextual invariants for one-to-many cross-domain recommendation. In Proc. of SIGIR
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Cornac: A Comparative Framework for Multimodal Recommender Systems
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Multi-modal knowledge graphs for recommender systems. In Proc. of CIKM
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MGAT: multimodal graph attention network for recommendation
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An enhanced multi-modal recommendation based on alternate training with knowledge graph representation
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Recommendation by users’ multimodal preferences for smart city applications
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Multi-view visual Bayesian personalized ranking for restaurant recommendation
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Curriculum Disentangled Recommendation with Noisy Multi-feedback
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CMBF: Cross-Modal-Based Fusion Recommendation Algorithm
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A review of content-based and context-based recommendation systems
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Understanding chinese video and language via contrastive multimodal pre-training. In Proc. of ACM MM
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CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation
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Learning Hybrid Behavior Patterns for Multimedia Recommendation. In Proc. of ACM MM
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A two-stage embedding model for recommendation with multimodal auxiliary information
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Multimodal Meta-Learning for Cold-Start Sequential Recommendation. In Proc. of CIKM
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Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, and Xing Xie. 2021 · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision. In Proc. of ICML
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Dualgnn: Dual graph neural network for multimedia recommendation
Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, and Liqiang Nie. 2021b · 2021
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Mm-rec: multimodal news recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2021 · 2021
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Multi-Modal Variational Graph Auto-Encoder for Recommendation Systems
Jing Yi and Zhenzhong Chen. 2021 · 2021
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GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Wei Yinwei, Wang Xiang, Nie Liqiang, He Xiangnan, and Chua Tat-Seng. 2021 · 2021
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Mining latent structures for multimedia recommendation. In Proc. of ACM MM
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, and Liang Wang. 2021 · 2021
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Multi-modal graph contrastive learning for micro-video recommendation. In Proc. of SIGIR
Zixuan Yi, Xi Wang, Iadh Ounis, and Craig Macdonald. 2022 · 2022
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Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
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A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
Xin Zhou. 2022 · 2022
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Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. In Proc. of KDD
Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, and Yang Cao. 2022 · 2022
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Multi-modal mixture of experts represetation learning for sequential recommendation. In Proc. of CIKM
Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, and Ji-Rong Wen. 2023 · 2023
Closest in time.
Adaptive multi-modalities fusion in sequential recommendation systems. In Proc. of CIKM
Hengchang Hu, Wei Guo, Yong Liu, and Min-Yen Kan. 2023 · 2023
Closest in time.
MMMLP: multi-modal multilayer perceptron for sequential recommendations. In Proc. of WWW
Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, and Zitao Liu. 2023 · 2023
Closest in time.
Semantic-Guided Feature Distillation for Multimodal Recommendation. In Proc. of ACM MM
Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, and Mohan Kankanhalli. 2023 · 2023
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Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing. In Proc. of ACM MM
Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Huimin Ma, and Yong Li. 2023 · 2023
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Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup
Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, and Xiangyu Zhao. 2023b · 2023
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Disentangled Representation Learning for Recommendation
Xin Wang, Hong Chen, Yuwei Zhou, Jianxin Ma, and Wenwu Zhu. 2023a · 2023
Closest in time.
Multi-modal self-supervised learning for recommendation. In Proc. of WWW
Wei Wei, Chao Huang, Lianghao Xia, and Chuxu Zhang. 2023 · 2023
Closest in time.
Multi-view graph convolutional network for multimedia recommendation. In Proc. of ACM MM
Penghang Yu, Zhiyi Tan, Guanming Lu, and Bing-Kun Bao. 2023 · 2023
Closest in time.
Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning
Lingzi Zhang, Xin Zhou, and Zhiqi Shen. 2023 · 2023
Closest in time.
Hongyu Zhou, Xin Zhou, Zhiwei Zeng, Lingzi Zhang, and Zhiqi Shen. 2023c · 2023
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MMRec: Simplifying Multimodal Recommendation
Xin Zhou. 2023 · 2023
Closest in time.
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. In Proc. of WWW
Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, and Chao Huang. 2024 · 2024
Closest in time.
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. In Proc. of WWW
Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, and Liang Lin. 2024 · 2024
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