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In the modern e-commerce, the behaviors of customers contain rich information, e.g., consumption habits, the dynamics of preferences.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Bidirectional recurrent neural networks
Mike Schuster and Kuldip K Paliwal. 1997 · 1997
Earlier work this paper cites.
Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th international conference on World Wide Web
Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. 2001 · 2001
Earlier work this paper cites.
Amazon. com recommendations: Item-to-item collaborative filtering
Greg Linden, Brent Smith, and Jeremy York. 2003 · 2003
Earlier work this paper cites.
Scalable collaborative filtering with jointly derived neighborhood interpolation weights. In Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on
Robert M Bell and Yehuda Koren. 2007 · 2007
Earlier work this paper cites.
Factorization meets the neighborhood: a multifaceted collaborative filtering model. In Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Yehuda Koren. 2008 · 2008
Earlier work this paper cites.
Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
Earlier work this paper cites.
Probabilistic matrix factorization. In Advances in neural information processing systems
Andriy Mnih and Ruslan R Salakhutdinov. 2008 · 2008
Earlier work this paper cites.
BPR: Bayesian personalized ranking from implicit feedback. In Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009 · 2009
Earlier work this paper cites.
Collaborative filtering with temporal dynamics
Yehuda Koren. 2010 · 2010
Earlier work this paper cites.
Factorizing personalized markov chains for next-basket recommendation. In Proceedings of the 19th international conference on World wide web
Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010 · 2010
Earlier work this paper cites.
Who should share what?: item-level social influence prediction for users and posts ranking. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Peng Cui, Fei Wang, Shaowei Liu, Mingdong Ou, Shiqiang Yang, and Lifeng Sun. 2011 · 2011
Earlier work this paper cites.
Adaptive subgradient methods for online learning and stochastic optimization
John Duchi, Elad Hazan, and Yoram Singer. 2011 · 2011
Earlier work this paper cites.
Personalized travel package recommendation. In Data Mining (ICDM), 2011 IEEE 11th International Conference on
Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, and Hui Xiong. 2011 · 2011
Earlier work this paper cites.
User Oriented Trajectory Search for Trip Recommendation. In Proceedings of the 15th International Conference on Extending Database Technology
Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, and Panos Kalnis. 2012 · 2012
Earlier work this paper cites.
Effective next-items recommendation via personalized sequential pattern mining. In Database Systems for Advanced Applications
Ghim-Eng Yap, Xiao-Li Li, and Philip Yu. 2012 · 2012
Cited alongside, same era.
Representation learning: A review and new perspectives
Yoshua Bengio, Aaron Courville, and Pascal Vincent. 2013 · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Cited alongside, same era.
Deepwalk: Online learning of social representations. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. 2014 · 2014
Cited alongside, same era.
Personalized trajectory matching in spatial networks
Shuo Shang, Ruogu Ding, Kai Zheng, Christian S Jensen, Panos Kalnis, and Xiaofang Zhou. 2014 · 2014
Cited alongside, same era.
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback.. In AAAI
Ruining He and Julian McAuley. 2016 · 2016
Later among the works it cites.
Fast matrix factorization for online recommendation with implicit feedback. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Xiangnan He, Hanwang Zhang, Min-Yen Kan, and Tat-Seng Chua. 2016 · 2016
Later among the works it cites.
A probabilistic view of neighborhood-based recommendation methods. In Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on
Jun Wang and Qiang Tang. 2016 · 2016
Later among the works it cites.
Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition.. In AAAI
Bo Wu, Tao Mei, Wen-Huang Cheng, Yongdong Zhang, et al · 2016
Later among the works it cites.
Collaborative knowledge base embedding for recommender systems. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining
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Hongke Zhao, Le Wu, Qi Liu, Yong Ge, and Enhong Chen. 2014 · 2014
Cited alongside, same era.
A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems. In Proceedings of the 24th International Conference on World Wide Web
Ali Mamdouh Elkahky, Yang Song, and Xiaodong He. 2015 · 2015
Cited alongside, same era.
Session-based recommendations with recurrent neural networks
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015 · 2015
Cited alongside, same era.
Mining indecisiveness in customer behaviors. In Data Mining (ICDM), 2015 IEEE International Conference on
Qi Liu, Xianyu Zeng, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie, et al · 2015
Cited alongside, same era.
Recommender systems handbook
Francesco Ricci, Lior Rokach, Bracha Shapira, and Paul B Kantor. 2015 · 2015
Cited alongside, same era.
Learning Hierarchical Representation Model for NextBasket Recommendation. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, and Xueqi Cheng. 2015 · 2015
Cited alongside, same era.
Item2vec: neural item embedding for collaborative filtering. In Machine Learning for Signal Processing (MLSP), 2016 IEEE 26th International Workshop on
Oren Barkan and Noam Koenigstein. 2016 · 2016
Cited alongside, same era.
Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, and Wei-Ying Ma. 2016 · 2016
Later among the works it cites.
Group Preference Aggregation: A Nash Equilibrium Approach. In Data Mining (ICDM), 2016 IEEE 16th International Conference on
Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, and Enhong Chen. 2016 · 2016
Later among the works it cites.
Peng Cui, Xiao Wang, Jian Pei, and Wenwu Zhu. 2017 · 2017
Later among the works it cites.
Sequential User-based Recurrent Neural Network Recommendations. In Proceedings of the Eleventh ACM Conference on Recommender Systems
Tim Donkers, Benedikt Loepp, and Jürgen Ziegler. 2017 · 2017
Later among the works it cites.
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17
Huifeng Guo, Ruiming TANG, Yunming Ye, Zhenguo Li, and Xiuqiang He. 2017 · 2017
Later among the works it cites.
Neural Collaborative Filtering. In Proceedings of the 26th International Conference on World Wide Web
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. 2017 · 2017
Later among the works it cites.
Neural Attentive Session-based Recommendation. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, and Jun Ma. 2017 · 2017
Later among the works it cites.
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. In Proceedings of the Eleventh ACM Conference on Recommender Systems
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, and Paolo Cremonesi. 2017 · 2017
Later among the works it cites.
Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17
Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Qiushi Huang, Jintao Li, and Tao Mei. 2017 · 2017
Later among the works it cites.
A sequential approach to market state modeling and analysis in online p2p lending
Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, and Junping Du. 2017 · 2017
Later among the works it cites.