Ukiyo-e Recommendation based on Deep Learning For Learning Japanese Art and Culture-Reference-Cited by-同舟云学术

Ukiyo-e Recommendation based on Deep Learning For Learning Japanese Art and Culture

Published:2017 Issue: Volume: Page:
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Container-title:Proceedings of the 2017 International Conference on Information System and Data Mining - ICISDM '17
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Author:

Wang Jiayun¹,Kawagoe Kyoji¹

Affiliation:

1. Ritsumeikan University, Kusatsu, Shiga, Japan

Publisher

ACM Press

Reference13 articles.

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2. Balazs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk (2016), Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. In Proc. RecSys2016, 241--248. Sept. 2016.

3. Ciregan, D., Meier, U., & Schmidhuber, J. "Multi-column deep neural networks for image classification". In Proc. 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (pp. 3642--3649). IEEE. June 2012.

4. Dietmar Jannach, Markus Zanker, Alexander Felfernig, and Gerhard Friedrich. Recommender Systems: An Introduction (1st ed.). Cambridge University Press, New York, NY, USA. 2911.

5. Dong Hyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu (2016), Convolutional Matrix Factorization for Document Context-Aware Recommendation. In Proc. RecSys2016, 233--240. Sept. 2016.

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