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Multi-modal sequential recommendation systems leverage auxiliary signals (e.g., text, images) to alleviate data sparsity in user-item interactions.
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. In CIKM . 1893–1902
Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020 · 1902
Earlier work this paper cites.
Factorizing Personalized Markov Chains for Next-basket Recommendation. In WWW . 811–820
Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010 · 2010
Earlier work this paper cites.
Product Quantization for Nearest Neighbor Search
Hervé Jégou, Matthijs Douze, and Cordelia Schmid. 2011 · 2011
Earlier work this paper cites.
Image-Based Recommendations on Styles and Substitutes. In SIGIR . 43–52
Julian J. McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel. 2015 · 2015
Earlier work this paper cites.
Learning Hierarchical Representation Model for NextBasket Recommendation. In SIGIR . 403–412
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, and Xueqi Cheng. 2015 · 2015
Earlier work this paper cites.
TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. In RecSys . 261–268
Hancheng Ge, James Caverlee, and Haokai Lu. 2016 · 2016
Earlier work this paper cites.
Semi-Supervised Classification with Graph Convolutional Networks. In ICLR . OpenReview.net
Thomas N. Kipf and Max Welling. 2017 · 2017
Earlier work this paper cites.
Neural Attentive Session-Based Recommendation. In CIKM . 1419–1428
Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, and Jun Ma. 2017 · 2017
Earlier work this paper cites.
Neural Discrete Representation Learning. In NeurIPS . 6306–6315
Aäron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu. 2017 · 2017
Earlier work this paper cites.
Mutual Information Neural Estimation. In ICML (Proceedings of Machine Learning Research, Vol. 80) . PMLR, 530–539
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, and Aaron C. Courville. 2018 · 2018
Earlier work this paper cites.
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. In SIGIR . 505–514
Jin Huang, Wayne Xin Zhao, Hong-Jian Dou, Ji-Rong Wen, and Edward Y. Chang. 2018 · 2018
Earlier work this paper cites.
Self-Attentive Sequential Recommendation. In ICDM . 197–206
Wang-Cheng Kang and Julian J. McAuley. 2018 · 2018
Earlier work this paper cites.
STAMP: Short-Term Attention/Memory Priority Model for Session-Based Recommendation. In KDD . 1831–1839
Qiao Liu, Yifu Zeng, Refuoe Mokhosi, and Haibin Zhang. 2018 · 2018
Earlier work this paper cites.
Representation Learning with Contrastive Predictive Coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals. 2018 · 2018
Earlier work this paper cites.
A Review-Driven Neural Model for Sequential Recommendation. In IJCAI . International Joint Conferences on Artificial Intelligence Organization, 2866–2872
Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, and Cong Quan. 2019 · 2019
Earlier work this paper cites.
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. In CIKM . 1441–1450
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
Earlier work this paper cites.
Unified Collaborative Filtering over Graph Embeddings. In SIGIR . 155–164
Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, and Yongfeng Zhang. 2019 · 2019
Cited alongside, same era.
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. In MM . 1437–1445
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, and Tat-Seng Chua. 2019 · 2019
Cited alongside, same era.
Feature-level Deeper Self-Attention Network for Sequential Recommendation. In IJCAI . 4320–4326
Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, and Xiaofang Zhou. 2019 · 2019
Cited alongside, same era.
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. In ICML (Proceedings of Machine Learning Research, Vol. 119) . PMLR, 1779–1788
Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, and Lawrence Carin. 2020 · 2020
Cited alongside, same era.
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. In SIGIR . ACM, 159–168
Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, and Tat-Seng Chua. 2020 · 2020
SoundStream: An End-to-End Neural Audio Codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, and Marco Tagliasacchi. 2022 · 2022
Later among the works it cites.
VIP5: Towards Multimodal Foundation Models for Recommendation. In Findings of EMNLP . Association for Computational Linguistics, 9606–9620
Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, and Yongfeng Zhang. 2023 · 2023
Later among the works it cites.
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. In WWW . ACM, 1162–1171
Yupeng Hou, Zhankui He, Julian J. McAuley, and Wayne Xin Zhao. 2023 · 2023
Later among the works it cites.
Recommender Systems with Generative Retrieval. In NeurIPS
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, and Mahesh Sathiamoorthy. 2023 · 2023
Later among the works it cites.
In SIGIR . ACM, 433–442
Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, and Yong Li. 2023 · 2023
Later among the works it cites.
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Cited alongside, same era.
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 · 2021
Cited alongside, same era.
Session-aware Linear Item-Item Models for Session-based Recommendation. In WWW . 2186–2197
Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, and Jongwuk Lee. 2021 · 2021
Cited alongside, same era.
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. In RecSys . ACM, 143–153
Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, and Even Oldridge. 2021 · 2021
Cited alongside, same era.
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. In AAAI . 4249–4256
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, and Lifeng Shang. 2021 · 2021
Cited alongside, same era.
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, and Tat-Seng Chua. 2021 · 2021
Cited alongside, same era.
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. In WWW . 449–459
Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, and Yue Ding. 2021 · 2021
Cited alongside, same era.
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. In CIKM . 4653–4664
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, and Ji-Rong Wen. 2021 · 2021
Cited alongside, same era.
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation
Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, and Liqiang Nie. 2023 · 2023
Later among the works it cites.
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. In MM . ACM, 6548–6557
Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, and Shu-Tao Xia. 2023 · 2023
Later among the works it cites.
Achieving Cross Modal Generalization with Multimodal Unified Representation. In NeurIPS
Yan Xia, Hai Huang, Jieming Zhu, and Zhou Zhao. 2023 · 2023
Later among the works it cites.
Multi-View Graph Convolutional Network for Multimedia Recommendation. In Proceedings of the 31st ACM International Conference on Multimedia (MM ’23) . 6576–6585
Penghang Yu, Zhiyi Tan, Guanming Lu, and Bing-Kun Bao. 2023 · 2023
Later among the works it cites.
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. In SIGIR . ACM, 2639–2649
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, and Yongxin Ni. 2023 · 2023
Later among the works it cites.
Generative News Recommendation. In WWW , Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, and Roy Ka-Wei Lee (Eds.). ACM, 3444–3453
Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, and Zhaochun Ren. 2024 · 2024
Later among the works it cites.
Multimodal recommender systems: A survey
Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li, and Jiliang Tang. 2024a · 2024
Later among the works it cites.
Aligned side information fusion method for sequential recommendation. In Companion Proceedings of the ACM Web Conference 2024 . 112–120
Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, and Linjian Mo. 2024b · 2024
Later among the works it cites.
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 3645–3656
Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, and Leyu Lin. 2024 · 2024
Later among the works it cites.
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. In RecSys . ACM, 969–974
Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, and Xiu Li. 2024 · 2024
Later among the works it cites.
Multimodal Recommender Systems: A Survey
Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li, and Jiliang Tang. 2025 · 2025
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