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The session-based recommendation (SBR) garners increasing attention due to its ability to predict anonymous user intents within limited interactions.
Session-based recommendations with recurrent neural networks
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk · 2016
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Parallel recurrent neural network architectures for feature-rich session-based recommendations
Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, and Domonkos Tikk · 2016
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Neural attentive session-based recommendation
Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, and Jun Ma · 2017
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Self-attentive sequential recommendation
Wang-Cheng Kang and Julian J. McAuley · 2018
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STAMP: short-term attention/memory priority model for session-based recommendation
Qiao Liu, Yifu Zeng, Refuoe Mokhosi, and Haibin Zhang · 2018
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Sequence and time aware neighborhood for session-based recommendations: STAN
Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, and Gautam M. Shroff · 2019
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A review-driven neural model for sequential recommendation
Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, and Cong Quan · 2019
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Rethinking the item order in session-based recommendation with graph neural networks
Ruihong Qiu, Jingjing Li, Zi Huang, and Hongzhi Yin · 2019
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Repeatnet: A repeat aware neural recommendation machine for session-based recommendation
Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, and Maarten de Rijke · 2019
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Sequential recommender systems: Challenges, progress and prospects
Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, and Mehmet A. Orgun · 2019
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Session-based recommendation with graph neural networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, and Tieniu Tan · 2019
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Feature-level deeper self-attention network for sequential recommendation
Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, and Xiaofang Zhou · 2019
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Handling information loss of graph neural networks for session-based recommendation
Tianwen Chen and Raymond Chi-Wing Wong · 2020
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Time interval aware self-attention for sequential recommendation
Jiacheng Li, Yujie Wang, and Julian J. McAuley · 2020
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Keywords generation improves e-commerce session-based recommendation
Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, and Dawei Yin · 2020
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Empirical analysis of session-based recommendation algorithms
Malte Ludewig, Noemi Mauro, Sara Latifi, and Dietmar Jannach · 2020
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Incorporating user micro-behaviors and item knowledge into multi-task learning for session-based recommendation
Wenjing Meng, Deqing Yang, and Yanghua Xiao · 2020
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Déjà vu: A contextualized temporal attention mechanism for sequential recommendation
Jibang Wu, Renqin Cai, and Hongning Wang · 2020
Cited alongside, same era.
S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization
Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen · 2020
Cited alongside, same era.
Category-aware collaborative sequential recommendation
Renqin Cai, Jibang Wu, Aidan San, Chong Wang, and Hongning Wang · 2021
Cited alongside, same era.
Noninvasive self-attention for side information fusion in sequential recommendation
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, and Lifeng Shang · 2021
Cited alongside, same era.
CBML: A cluster-based meta-learning model for session-based recommendation
Jiayu Song, Jiajie Xu, Rui Zhou, Lu Chen, Jianxin Li, and Chengfei Liu · 2021
Cited alongside, same era.
Multi-behavior hypergraph-enhanced transformer for sequential recommendation
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, and Chenliang Li · 2022
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Micro-behavior encoding for session-based recommendation
Jiahao Yuan, Wendi Ji, Dell Zhang, Jinwei Pan, and Xiaoling Wang · 2022
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Price DOES matter!: Modeling price and interest preferences in session-based recommendation
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, and Hongfei Lin · 2022
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Multi-modal mixture of experts represetation learning for sequential recommendation
Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, and Ji-Rong Wen · 2023
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Knowledge-enhanced multi-view graph neural networks for session-based recommendation
Qian Chen, Zhiqiang Guo, Jianjun Li, and Guohui Li · 2023
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Self-supervised hypergraph convolutional networks for session-based recommendation
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, and Xiangliang Zhang · 2021
Cited alongside, same era.
Time lag aware sequential recommendation
Lihua Chen, Ning Yang, and Philip S. Yu · 2022
Cited alongside, same era.
Towards universal sequence representation learning for recommender systems
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, and Ji-Rong Wen · 2022
Cited alongside, same era.
An attribute-driven mirror graph network for session-based recommendation
Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, and Aixin Sun · 2022
Cited alongside, same era.
Spatiotemporal-aware session-based recommendation with graph neural networks
Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, and Yong Li · 2022
Cited alongside, same era.
Sequential recommendation with decomposed item feature routing
Kun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, and Xu Chen · 2022
Cited alongside, same era.
Dual-task learning for multi-behavior sequential recommendation
Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, and Zhong Ming · 2022
Cited alongside, same era.
Uniform sequence better: Time interval aware data augmentation for sequential recommendation
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, and Hong Liu · 2023
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Adaptive multi-modalities fusion in sequential recommendation systems
Hengchang Hu, Wei Guo, Yong Liu, and Min-Yen Kan · 2023
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Text is all you need: Learning language representations for sequential recommendation
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, and Julian J. McAuley · 2023
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MMMLP: multi-modal multilayer perceptron for sequential recommendations
Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, and Zitao Liu · 2023
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Distribution-based learnable filters with side information for sequential recommendation
Haibo Liu, Zhixiang Deng, Liang Wang, Jinjia Peng, and Shi Feng · 2023
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Text matching improves sequential recommendation by reducing popularity biases
Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, and Ge Yu · 2023
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A generic reinforced explainable framework with knowledge graph for session-based recommendation
Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, and Yew-Soon Ong · 2023
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LOAM: improving long-tail session-based recommendation via niche walk augmentation and tail session mixup
Heeyoon Yang, YunSeok Choi, Gahyung Kim, and Jee-Hyong Lee · 2023
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Bi-preference learning heterogeneous hypergraph networks for session-based recommendation
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, and Hongfei Lin · 2023
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Beyond co-occurrence: Multi-modal session-based recommendation
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, and Hongfei Lin · 2023
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Hongyu Zhou, Xin Zhou, Zhiwei Zeng, Lingzi Zhang, and Zhiqi Shen · 2023
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