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In order to develop effective sequential recommenders, a series of sequence representation learning (SRL) methods are proposed to model historical user behaviors.
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Factorizing personalized Markov chains for next-basket recommendation. In WWW
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Cross-domain collaboration recommendation. In SIGKDD
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Representation Learning: A Review and New Perspectives
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We know what you want to buy: a demographic-based system for product recommendation on microblogs. In KDD
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Session-based Recommendations with Recurrent Neural Networks. In ICLR
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Neural Attentive Session-based Recommendation. In CIKM
Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, and Jun Ma. 2017 · 2017
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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. In ICLR
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, and Jeff Dean. 2017 · 2017
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Attention is All you Need. In NeurIPS
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. In CIKM
Guangneng Hu, Yu Zhang, and Qiang Yang. 2018 · 2018
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Self-Attentive Sequential Recommendation. In ICDM
Wang-Cheng Kang and Julian J. McAuley. 2018 · 2018
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Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. In WSDM
Jiaxi Tang and Ke Wang. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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CROSS: Cross-platform Recommendation for Social E-Commerce. In SIGIR
Tzu-Heng Lin, Chen Gao, and Yong Li. 2019 · 2019
Cited alongside, same era.
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. In EMNLP
Jianmo Ni, Jiacheng Li, and Julian J. McAuley. 2019 · 2019
Cited alongside, same era.
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. In CIKM
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
Cited alongside, same era.
Session-Based Recommendation with Graph Neural Networks. In AAAI
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, and Tieniu Tan. 2019 · 2019
Cited alongside, same era.
Feature-level Deeper Self-Attention Network for Sequential Recommendation. In IJCAI
Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, and Xiaofang Zhou. 2019 · 2019
Cited alongside, same era.
Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, and Hao Wang. 2021 · 2021
Later among the works it cites.
Locally constrained self-attentive sequential recommendation. In CIKM
Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, and Julian McAuley. 2021 · 2021
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WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. In Findings of EMNLP
Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, and Nan Duan. 2021 · 2021
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Whitening Sentence Representations for Better Semantics and Faster Retrieval
Jianlin Su, Jiarun Cao, Weijie Liu, and Yangyiwen Ou. 2021 · 2021
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RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. In CIKM
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
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DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. In CIKM
Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, and Xiaolin Zheng. 2019 · 2019
Cited alongside, same era.
On the Sentence Embeddings from Pre-trained Language Models. In EMNLP
Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, and Lei Li. 2020 · 2020
Cited alongside, same era.
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations. In RecSys
Hongyan Tang, Junning Liu, Ming Zhao, and Xudong Gong. 2020 · 2020
Cited alongside, same era.
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. In SIGIR
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, and Liguang Zhang. 2020 · 2020
Cited alongside, same era.
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. In CIKM
Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, and Ji-Rong Wen. 2020 · 2020
Cited alongside, same era.
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. In CIKM
Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020 · 2020
Cited alongside, same era.
Sequential Recommendation with Graph Neural Networks. In SIGIR
Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, and Yong Li. 2021 · 2021
Cited alongside, same era.
Later among the works it cites.
Cross-Domain Recommendation: Challenges, Progress, and Prospects. In IJCAI
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, and Guanfeng Liu. 2021 · 2021
Later among the works it cites.
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. In SIGIR
Yupeng Hou, Binbin Hu, Zhiqiang Zhang, and Wayne Xin Zhao. 2022 · 2022
Closest in time.
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. In WSDM
Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, and Di Niu. 2022 · 2022
Closest in time.
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. In TheWebConf
Zihan Lin, Changxin Tian, Yupeng Hou, and Wayne Xin Zhao. 2022 · 2022
Closest in time.
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, and Bolin Ding. 2022 · 2022
Closest in time.
Self-Supervised Learning for Recommender Systems: A Survey
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, and Zi Huang. 2022 · 2022
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Filter-enhanced MLP is All You Need for Sequential Recommendation. In TheWebConf
Kun Zhou, Hui Yu, Wayne Xin Zhao, and Ji-Rong Wen. 2022 · 2022
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