과제정보
연구 과제 주관 기관 : 한국연구재단
참고문헌
- J. Son, S. Kim, H. Kim, and S. Cho, "Review and Analysis of Recommender Systems," Journal of KIIE, Vol. 41, No. 2, pp. 185-208, Apr. 2015. (in Korean)
- B. M. Sarwar, G. Karypis, J. A. Konstan, and J. T. Riedl, "Analysis of Recommendation Algorithms for E-commerce," Proc. of 2nd ACM Conference on Electronic Commerce, pp. 158-167, 2000.
- B. Hidasi, A. Karatzoglou, L. Baltrunas, and D. Tikk, "Session-based Recommendations with Recurrent Neural Networks," Proc. of the ICLR 2016, 2016.
- S. Wu, W. Ren, C. Yu, G. Chen, D. Zhang, and J. Zhu, "Personal Recommendation Using Deep Recurrent Neural Network in NetEase," Proc. of the 32nd ICDE 2016, 2016.
- I. Sutskever, "Training Recurrent Neural Netwroks," PhD thesis Uninversity Tronto, 2012.
- Y. H. Wu and A. L. Chen, "Index structures of user profiles for efficient web page filtering services," Proc. of the 20th International Conference on Distributed Computing Systems, pp. 644-644, 2000.
- G. Linden, B. Smith, and J. York, "Amazon. com recommendations: Item-to-item collaborative fitering," Journal of IEEE Internet Computing, Vol. 7, No. 1, pp. 76-80, Feb. 2003. https://doi.org/10.1109/MIC.2003.1167344
- J. Seo, H. Yong, "Performance Evaluation of LSTM and GRU using TensorFlow," Proc. of the KIISE 2016 winter, pp. 211-213, 2016. (in Korean)
- Y. Bengio, P. Simard, and P. Frasconi, "Learning Long-Term Dependencies with gradient descent is difficult," Journal of IEEE Transactions on Neural Networks, Vol. 5, No. 2, pp. 157-166, Mar. 1994. https://doi.org/10.1109/72.279181
- S. Hochreiter and J. Schmidhuber, "Long short-term memory," Joural of Neural Computation, Vol. 9, No. 8, pp. 1735-1780, Nov. 1997. https://doi.org/10.1162/neco.1997.9.8.1735
- K. Cho, B. van Merrienboer, C. Gulcehre, F. Bougares, H. Schwenk, and Y, Bengio, "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation," Proc. of the EMNLP 2014, pp. 1724-1734, Sep. 2014.
- J. Duchi, E. Hazan, and Y. Singer, "Adaptive Subgradient Methods for Online Learning and Stochastic Optimization," Journal of Machine Learning Research, 12, pp. 2121-2159, Jul. 2011.
- T. Tieleman and G. Hinton, "Lecture 6.5 - RMSProp, COURSERA : Neural Networks for Machine Learning," Technical report.
- D. Kingma and J. Ba, "Adam : A method for stochastic optimization," Proc. of the ICLR 2015, arXvi, pp. 1412-6980, 2015.
- D. Ben-Shimon, A. Tsikinovsky, M. Friedmann, B. Shapira, L. Rokach, and J. Hoerle, "RecSys Challenge 2015 and the YOOCHOOSE Dataset," Proc. of the ACM RecSys 2015, pp. 357-358, 2015.
- J. Seo. (1993, Feb 28). RecSys Challenge 2015 [Online]. Available: http://2015.recsyschallenge.com/ submission.html (downloaded 2016, Sep. 30)