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Session-based recommendation (SBR) focuses on next-item prediction at a certain time point.
A survey on session-based recommender systems
Wang, S.; Cao, L.; and Wang, Y. 2019 · 1902
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Simplifying graph convolutional networks
Wu, F.; Zhang, T.; Souza Jr, A. H. d.; Fifty, C.; Yu, T.; and Weinberger, K. Q. 2019a · 1902
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Congruent graphs and the connectivity of graphs
Whitney, H. 1992 · 1992
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Long short-term memory
Hochreiter, S.; and Schmidhuber, J. 1997 · 1997
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Item-based collaborative filtering recommendation algorithms
Sarwar, B.; Karypis, G.; Konstan, J.; and Riedl, J. 2001 · 2001
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Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs
Bandyopadhyay, S.; Das, K.; and Murty, M. N. 2020 · 2002
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Enhance Social Recommendation with Adversarial Graph Convolutional Networks
Yu, J.; Yin, H.; Li, J.; Gao, M.; Huang, Z.; and Cui, L. 2020 · 2004
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An MDP-based recommender system
Shani, G.; Heckerman, D.; and Brafman, R. I. 2005 · 2005
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Contrastive Multi-View Representation Learning on Graphs
Hassani, K.; and Khasahmadi, A. H. 2020 · 2006
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Self-Supervised Reinforcement Learning forRecommender Systems
Xin, X.; Karatzoglou, A.; Arapakis, I.; and Jose, J. M. 2020 · 2006
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Zhou, K.; Wang, H.; Zhao, W. X.; Zhu, Y.; Wang, S.; Zhang, F.; Wang, Z.; and Wen, J.-R. 2020 · 2008
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Music recommendation by unified hypergraph: combining social media information and music content
Bu, J.; Tan, S.; Chen, C.; Wang, C.; Wu, H.; Zhang, L.; and He, X. 2010 · 2010
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Factorizing personalized markov chains for next-basket recommendation
Rendle, S.; Freudenthaler, C.; and Schmidt-Thieme, L. 2010 · 2010
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Hypergraph theory
Bretto, A. 2013 · 2013
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News recommendation via hypergraph learning: encapsulation of user behavior and news content
Li, L.; and Li, T. 2013 · 2013
Cited alongside, same era.
Using temporal data for making recommendations
Zimdars, A.; Chickering, D. M.; and Meek, C. 2013 · 2013
Cited alongside, same era.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Cho, K.; Van Merriënboer, B.; Gulcehre, C.; Bahdanau, D.; Bougares, F.; Schwenk, H.; and Bengio, Y. 2014 · 2014
Cited alongside, same era.
Session-based recommendations with recurrent neural networks
Hidasi, B.; Karatzoglou, A.; Baltrunas, L.; and Tikk, D. 2015 · 2015
Cited alongside, same era.
Improved recurrent neural networks for session-based recommendations
Tan, Y. K.; Xu, X.; and Liu, Y. 2016 · 2016
Learning representations by maximizing mutual information across views
Bachman, P.; Hjelm, R. D.; and Buchwalter, W. 2019 · 2019
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Hypergraph neural networks
Feng, Y.; You, H.; Zhang, Z.; Ji, R.; and Gao, Y. 2019 · 2019
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Streaming session-based recommendation
Guo, L.; Yin, H.; Wang, Q.; Chen, T.; Zhou, A.; and Quoc Viet Hung, N. 2019 · 2019
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Dynamic hypergraph neural networks
Jiang, J.; Wei, Y.; Feng, Y.; Cao, J.; and Gao, Y. 2019 · 2019
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Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
Qiu, R.; Li, J.; Huang, Z.; and Yin, H. 2019 · 2019
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Deep Graph Infomax
Velickovic, P.; Fedus, W.; Hamilton, W. L.; Liò, P.; Bengio, Y.; and Hjelm, R. D. 2019 · 2019
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Cited alongside, same era.
When recurrent neural networks meet the neighborhood for session-based recommendation
Jannach, D.; and Ludewig, M. 2017 · 2017
Cited alongside, same era.
Neural attentive session-based recommendation
Li, J.; Ren, P.; Chen, Z.; Ren, Z.; Lian, T.; and Ma, J. 2017 · 2017
Cited alongside, same era.
3D convolutional networks for session-based recommendation with content features
Tuan, T. X.; and Phuong, T. M. 2017 · 2017
Cited alongside, same era.
Attention is All You Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Recurrent neural networks with top-k gains for session-based recommendations
Hidasi, B.; and Karatzoglou, A. 2018 · 2018
Cited alongside, same era.
Learning deep representations by mutual information estimation and maximization
Hjelm, R. D.; Fedorov, A.; Lavoie-Marchildon, S.; Grewal, K.; Bachman, P.; Trischler, A.; and Bengio, Y. 2018 · 2018
Cited alongside, same era.
STAMP: short-term attention/memory priority model for session-based recommendation
Liu, Q.; Zeng, Y.; Mokhosi, R.; and Zhang, H. 2018 · 2018
Cited alongside, same era.
Graph contextualized self-attention network for session-based recommendation
Xu, C.; Zhao, P.; Liu, Y.; Sheng, V. S.; Xu, J.; Zhuang, F.; Fang, J.; and Zhou, X. 2019 · 2019
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HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs
Yadati, N.; Nimishakavi, M.; Yadav, P.; Nitin, V.; Louis, A.; and Talukdar, P. 2019 · 2019
Later among the works it cites.
Social influence-based group representation learning for group recommendation
Yin, H.; Wang, Q.; Zheng, K.; Li, Z.; Yang, J.; and Zhou, X. 2019 · 2019
Later among the works it cites.
A simple convolutional generative network for next item recommendation
Yuan, F.; Karatzoglou, A.; Arapakis, I.; Jose, J. M.; and He, X. 2019 · 2019
Later among the works it cites.
Handling Information Loss of Graph Neural Networks for Session-based Recommendation
Chen, T.; and Wong, R. C.-W. 2020 · 2020
Closest in time.
Disentangled Self-Supervision in Sequential Recommenders
Ma, J.; Zhou, C.; Yang, H.; Cui, P.; Wang, X.; and Zhu, W. 2020 · 2020
Closest in time.
Beyond clicks: Modeling multi-relational item graph for session-based target behavior prediction
Wang, W.; Zhang, W.; Liu, S.; Liu, Q.; Zhang, B.; Lin, L.; and Zha, H. 2020b · 2020
Closest in time.
A comprehensive survey on graph neural networks
Wu, Z.; Pan, S.; Chen, F.; Long, G.; Zhang, C.; and Philip, S. Y. 2020 · 2020
Closest in time.