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Recently, Recurrent Neural Networks (RNNs) have been applied to the task of session-based recommendation.
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Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. In Proceedings of the 10th ACM Conference on Recommender Systems
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Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015 · 2015
Cited alongside, same era.
Collaborative Deep Learning for Recommender Systems. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Hao Wang, Naiyan Wang, and Dit-Yan Yeung. 2015 · 2015
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Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, and Hemal Shah. 2016 · 2016
Cited alongside, same era.
Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks. In Proceedings of the 10th ACM Conference on Recommender Systems
Bartlomiej Twardowski. 2016 · 2016
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Session-Based Recommendations Using Item Embedding. In Proceedings of the 22Nd International Conference on Intelligent User Interfaces
Asnat Greenstein-Messica, Lior Rokach, and Michael Friedman. 2017 · 2017
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