Tài liệu tham khảo |
Loại |
Chi tiết |
[1] Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. En- riching word vectors with subword information. Transactions of the Associa- tion for Computational Linguistics, 5:135–146, 2017 |
Sách, tạp chí |
Tiêu đề: |
Enriching word vectors with subword information |
Tác giả: |
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov |
Nhà XB: |
Transactions of the Association for Computational Linguistics |
Năm: |
2017 |
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[3] Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, and Jie Tang. Trust relationship prediction in alibaba e- commerce platform. IEEE Transactions on Knowledge and Data Engineering, 32(5):1024–1035, 2019 |
Sách, tạp chí |
Tiêu đề: |
Trust relationship prediction in alibaba e- commerce platform |
Tác giả: |
Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang |
Nhà XB: |
IEEE Transactions on Knowledge and Data Engineering |
Năm: |
2019 |
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[4] Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning.Electra: Pre-training text encoders as discriminators rather than generators.arXiv preprint arXiv:2003.10555, 2020 |
Sách, tạp chí |
Tiêu đề: |
Electra: Pre-training text encoders as discriminators rather than generators |
Tác giả: |
Kevin Clark, Minh-Thang Luong, Quoc V Le, Christopher D Manning |
Nhà XB: |
arXiv |
Năm: |
2020 |
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[5] J Clement. Retail e-commerce sales worldwide from 2014 to 2023. Retrieved, 11(11):2019, 2019 |
Sách, tạp chí |
Tiêu đề: |
Retail e-commerce sales worldwide from 2014 to 2023 |
Tác giả: |
J Clement |
Năm: |
2019 |
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[9] John Duchi, Elad Hazan, and Yoram Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal of machine learning research, 12(7), 2011 |
Sách, tạp chí |
Tiêu đề: |
Adaptive subgradient methods for online learning and stochastic optimization |
Tác giả: |
John Duchi, Elad Hazan, Yoram Singer |
Nhà XB: |
Journal of machine learning research |
Năm: |
2011 |
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[10] Aditya Grover and Jure Leskovec. node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining, pages 855–864, 2016 |
Sách, tạp chí |
Tiêu đề: |
node2vec: Scalable feature learning for networks |
Tác giả: |
Aditya Grover, Jure Leskovec |
Nhà XB: |
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining |
Năm: |
2016 |
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[11] Will Hamilton, Zhitao Ying, and Jure Leskovec. Inductive representation learning on large graphs. In Advances in neural information processing sys- tems, pages 1024–1034, 2017 |
Sách, tạp chí |
Tiêu đề: |
Inductive representation learning on large graphs |
Tác giả: |
Will Hamilton, Zhitao Ying, Jure Leskovec |
Nhà XB: |
Advances in neural information processing systems |
Năm: |
2017 |
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[13] Bernard J Jansen and Paulo R Molina. The effectiveness of web search engines for retrieving relevant ecommerce links. Information Processing & Manage- ment, 42(4):1075–1098, 2006 |
Sách, tạp chí |
Tiêu đề: |
The effectiveness of web search engines for retrieving relevant ecommerce links |
Tác giả: |
Bernard J Jansen, Paulo R Molina |
Nhà XB: |
Information Processing & Management |
Năm: |
2006 |
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[15] Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. Imagenet classifica- tion with deep convolutional neural networks. In Advances in neural informa- tion processing systems, pages 1097–1105, 2012 |
Sách, tạp chí |
Tiêu đề: |
Imagenet classification with deep convolutional neural networks |
Tác giả: |
Alex Krizhevsky, Ilya Sutskever, Geoffrey E Hinton |
Nhà XB: |
Advances in neural information processing systems |
Năm: |
2012 |
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[16] Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. Albert: A lite bert for self-supervised learning of language representations. arXiv preprint arXiv:1909.11942, 2019 |
Sách, tạp chí |
Tiêu đề: |
Albert: A lite bert for self-supervised learning of language representations |
Tác giả: |
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut |
Nhà XB: |
arXiv |
Năm: |
2019 |
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[17] Adam Lerer, Ledell Wu, Jiajun Shen, Timothee Lacroix, Luca Wehrstedt, Ab- hijit Bose, and Alex Peysakhovich. PyTorch-BigGraph: A Large-scale Graph Embedding System. In Proceedings of the 2nd SysML Conference, Palo Alto, CA, USA, 2019 |
Sách, tạp chí |
Tiêu đề: |
PyTorch-BigGraph: A Large-scale Graph Embedding System |
Tác giả: |
Adam Lerer, Ledell Wu, Jiajun Shen, Timothee Lacroix, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich |
Nhà XB: |
Proceedings of the 2nd SysML Conference |
Năm: |
2019 |
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[18] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient estima- tion of word representations in vector space. arXiv preprint arXiv:1301.3781, 2013 |
Sách, tạp chí |
Tiêu đề: |
Efficient estimation of word representations in vector space |
Tác giả: |
Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean |
Nhà XB: |
arXiv |
Năm: |
2013 |
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[19] Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean.Distributed representations of words and phrases and their compositionality.pages 3111–3119, 2013 |
Sách, tạp chí |
Tiêu đề: |
Distributed representations of words and phrases and their compositionality |
Tác giả: |
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, Jeff Dean |
Năm: |
2013 |
|
[20] Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. A three-way model for collective learning on multi-relational data. In Icml, volume 11, pages 809–816, 2011 |
Sách, tạp chí |
Tiêu đề: |
A three-way model for collective learning on multi-relational data |
Tác giả: |
Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel |
Nhà XB: |
Icml |
Năm: |
2011 |
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[21] Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, and Jure Leskovec. Pinnersage: Multi-modal user embedding framework for recommendations at pinterest. In Proceedings of the 26th ACM SIGKDD In- ternational Conference on Knowledge Discovery & Data Mining, pages 2311–2320, 2020 |
Sách, tạp chí |
Tiêu đề: |
Pinnersage: Multi-modal user embedding framework for recommendations at pinterest |
Tác giả: |
Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec |
Nhà XB: |
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining |
Năm: |
2020 |
|
[22] Dimitris Paraschakis. Algorithmic and Ethical Aspects of Recommender Sys- tems in E-Commerce. Malm¨ o university, Faculty of Technology and Society, 2018 |
Sách, tạp chí |
Tiêu đề: |
Algorithmic and Ethical Aspects of Recommender Systems in E-Commerce |
Tác giả: |
Dimitris Paraschakis |
Nhà XB: |
Malmö university, Faculty of Technology and Society |
Năm: |
2018 |
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[23] Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. Deep contextualized word repre- sentations. In Proc. of NAACL, 2018 |
Sách, tạp chí |
Tiêu đề: |
Deep contextualized word representations |
Tác giả: |
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer |
Nhà XB: |
NAACL |
Năm: |
2018 |
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[25] Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, 2014 |
Sách, tạp chí |
Tiêu đề: |
Very deep convolutional networks for large-scale image recognition |
Tác giả: |
Karen Simonyan, Andrew Zisserman |
Nhà XB: |
arXiv |
Năm: |
2014 |
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[27] Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. Rethinking the inception architecture for computer vision. In Proceed- ings of the IEEE conference on computer vision and pattern recognition, pages 2818–2826, 2016 |
Sách, tạp chí |
Tiêu đề: |
Rethinking the inception architecture for computer vision |
Tác giả: |
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, Zbigniew Wojna |
Nhà XB: |
Proceedings of the IEEE conference on computer vision and pattern recognition |
Năm: |
2016 |
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[29] Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guil- laume Bouchard. Complex embeddings for simple link prediction. Interna- tional Conference on Machine Learning (ICML), 2016 |
Sách, tạp chí |
Tiêu đề: |
Complex embeddings for simple link prediction |
Tác giả: |
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard |
Nhà XB: |
International Conference on Machine Learning (ICML) |
Năm: |
2016 |
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