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Cross-domain recommendation can help alleviate the data sparsity issue in traditional sequential recommender systems.
Cumulated gain-based evaluation of IR techniques
Kalervo Järvelin and Jaana Kekäläinen. 2002 · 2002
Earlier work this paper cites.
Relational learning via collective matrix factorization. In Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining . 650–658
Ajit P Singh and Geoffrey J Gordon. 2008 · 2008
Earlier work this paper cites.
Factorizing personalized markov chains for next-basket recommendation. In Proceedings of the 19th international conference on World wide web . 811–820
Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010 · 2010
Earlier work this paper cites.
BPR: Bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012 · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling. 2013 · 2013
Earlier work this paper cites.
Alireza Makhzani and Brendan Frey. 2013 · 2013
Earlier work this paper cites.
Generative adversarial nets. In Advances in neural information processing systems . 2672–2680
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Learning hierarchical representation model for nextbasket recommendation. In Proceedings of the 38th International ACM SIGIR conference on Research and Development in Information Retrieval . 403–412
2015 · 2015
Earlier work this paper cites.
Session-based recommendations with recurrent neural networks
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015 · 2015
Earlier work this paper cites.
Improved training of wasserstein gans. In Advances in neural information processing systems . 5767–5777
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville. 2017 · 2017
Earlier work this paper cites.
Cross-Domain Recommendation: An Embedding and Mapping Approach.. In IJCAI . 2464–2470
Tong Man, Huawei Shen, Xiaolong Jin, and Xueqi Cheng. 2017 · 2017
Earlier work this paper cites.
Attention is all you need. In Advances in neural information processing systems . 5998–6008
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Sequential recommendation with user memory networks. In Proceedings of the eleventh ACM international conference on web search and data mining . 108–116
Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, and Hongyuan Zha. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Recurrent neural networks with top-k gains for session-based recommendations. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management . 843–852
Balázs Hidasi and Alexandros Karatzoglou. 2018 · 2018
Cited alongside, same era.
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users. In The World Wide Web Conference . 3144–3150
Dilruk Perera and Roger Zimmermann. 2019 · 2019
Later among the works it cites.
BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 1441–1450
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
Later among the works it cites.
Recsys-dan: discriminative adversarial networks for cross-domain recommender systems
Cheng Wang, Mathias Niepert, and Hui Li. 2019 · 2019
Later among the works it cites.
A Survey on Sequential Recommendation. In 2019 6th International Conference on Information Science and Control Engineering (ICISCE) . IEEE, 106–111
Mingming Xu, Fangai Liu, and Weizhi Xu. 2019 · 2019
Later among the works it cites.
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Conet: Collaborative cross networks for cross-domain recommendation. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management . 667–676
Guangneng Hu, Yu Zhang, and Qiang Yang. 2018 · 2018
Cited alongside, same era.
Self-attentive sequential recommendation. In 2018 IEEE International Conference on Data Mining (ICDM) . IEEE, 197–206
Wang-Cheng Kang and Julian McAuley. 2018 · 2018
Cited alongside, same era.
Sequential recommender system based on hierarchical attention network. In IJCAI International Joint Conference on Artificial Intelligence
Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, and Jian Wu. 2018 · 2018
Cited alongside, same era.
A deep framework for cross-domain and cross-system recommendations. In IJCAI International Joint Conference on Artificial Intelligence
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun, and Jia Wu. 2018 · 2018
Cited alongside, same era.
Semi-supervised learning for cross-domain recommendation to cold-start users. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 1563–1572
SeongKu Kang, Junyoung Hwang, Dongha Lee, and Hwanjo Yu. 2019 · 2019
Cited alongside, same era.
Cross-lingual language model pretraining
Guillaume Lample and Alexis Conneau. 2019 · 2019
Cited alongside, same era.
π \pi -Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval . 685–694
Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, and Maarten de Rijke. 2019 · 2019
Cited alongside, same era.
Justifying recommendations using distantly-labeled reviews and fine-grained aspects. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 188–197
Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019 · 2019
Cited alongside, same era.
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 1081–1090
Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, and Hari Sundaram. 2020 · 2020
Later among the works it cites.
Ddtcdr: Deep dual transfer cross domain recommendation. In Proceedings of the 13th International Conference on Web Search and Data Mining . 331–339
Pan Li and Alexander Tuzhilin. 2020 · 2020
Later among the works it cites.
ATLRec: An attentional adversarial transfer learning network for cross-domain recommendation
Ying Li, Jia-Jie Xu, Peng-Peng Zhao, Jun-Hua Fang, Wei Chen, and Lei Zhao. 2020 · 2020
Later among the works it cites.
Cross-Domain Recommendation with Adversarial Examples. In International Conference on Database Systems for Advanced Applications . Springer, 573–589
Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, and Victor S Sheng. 2020 · 2020
Later among the works it cites.
Parameter-efficient transfer from sequential behaviors for user modeling and recommendation. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 1469–1478
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, and Liguang Zhang. 2020 · 2020
Later among the works it cites.
Catn: Cross-domain recommendation for cold-start users via aspect transfer network. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 229–238
Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, and Aixin Sun. 2020 · 2020
Later among the works it cites.
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining
Fu-Zhen Zhuang, Ying-Min Zhou, Hao-Chao Ying, Fu-Zheng Zhang, Xiang Ao, Xing Xie, Qing He, and Hui Xiong. 2020 · 2020
Later among the works it cites.
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Pan Li and Alexander Tuzhilin. 2021 · 2021
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