References
- S. Jaiswal and T. Jaiswal, "Survey on Recommender System Using Deep Learning Networks," Artificial Intelligence Evolution, pp. 72-89, 2020. DOI:10.37256/aie.122020435
- M. Jalili, S. Ahmadian, M. Izadi, P. Moradi, and M. Salehi, "Evaluating Collaborative Filtering Recommender Algorithms: A Survey," IEEE Access, Vol. 6, pp. 74003-74024, 2018. DOI: 10.1109/ACCESS.2018.2883742
- X. Su and T.M. Khoshgoftaar, "A Survey of Collaborative Filtering Techniques," Advances in Artificial Intelligence, 2009. DOI:10.1155/2009/421425
- J. Liu and C. Wu, "Deep Learning Based Recommendation: A Survey," Lecture Notes in Electrical Engineering, Vol. 424, pp. 451-458, 2017. https://doi.org/10.1007/978-981-10-4154-9_52
- Z. Batmaz, A. Yurekli, A. Bilge, C. Kaleli, "A review on deep learning for recommender systems: challenges and remedies," Artificial Intelligence Review, Vol. 52, No. 1, pp. 1-37, 2019. DOI:10.1007/s10462-018-9654-y
- R. Mu, "A Survey of Recommender Systems Based on Deep Learning," IEEE Access, Vol. 6, pp. 69009-69022, DOI: 10.1109/ACCESS.2018.2880197
- H. Wang, N. Wang, and D. -Y. Yeung, "Collaborative Deep Learning for Recommender Systems," The 21th ACM SIGKDD International ACM Conference on Knowledge Discovery and Data Mining, 2015, pp. 1235-1244. DOI: 10.1145/2783258.2783273
- S. Zhang, L. Yao, A. Sun, and Y. Tay, "Deep Learning based Recommender System: A Survey and New Perspectives," ACM Computing Surveys, Vol. 52, No. 1, pp. 1-38, 2019. DOI: 10.1145/3285029
- R. Salakhutdinov, A. Mnih, and G. Hinton, " Restricted Boltzmann Machines for Collaborative Filtering," The 24th International Conference on Machine Learning, 2007. DOI: 10.1145/1273496.1273596
- G. Hinton, "A Practical Guide to Training Restricted Boltzmann Machines," Lecture Notes in Computer Science, pp. 599-619, 2012. DOI: 10.1007/978-3-642-35289-8_32
- Y. Zheng, B. Tang, W. Ding, and H. Zhou, "A Neural Autoregressive Approach to Collaborative Filtering," The 33rd International Conference on Machine Learning, 2016. DOI: 10.5555/3045390.3045472
- S. Kang, "Deep Learning Based Recommender System Using Non-Rating Purchase Data," Master's Thesis, DanKook Univ., 2016.
- S. Deng, L. Huang, G. Xu, X. Wu, and Z. Wu, "On Deep Learning for Trust-aware Recommendations in Social Networks," IEEE Trans Neural Netw Learn Syst. Vol. 28, No. 5, pp. 1164-1177, 2017. DOI: 10.1109/TNNLS.2016.2514368
- K. Georgiev and P. Nakov, "A Non-iid Framework for Collaborative Filtering with Restricted Boltzmann Machines," The 30th International Conference on Machine Learning, pp. III-1148-III-1156, 2013. DOI: 10.5555/3042817.3043065
- L. Hu, J. Cao, G. Xu, L. Cao, Z. Gu, and W. Cao, "Deep Modeling of Group Preferences for Group-based Recommendation," The 28th AAAI Conference on Artificial Intelligence, Canada, pp 1861-1867, 2014. DOI: 10.5555/2892753.2892811
- H. Byeon, "Mild Cognitive Impairment Prediction Model of Elderly in Korea Using Restricted Boltzmann Machine," Journal of Convergence for Information Technology, Vol. 9. No. 8, pp. 248-253, 2019. DOI: 10.22156/CS4SMB.2019.9.8.248
- G. Lee, "Development of Collaborative Deep Learning System for Fashion Recommendation," Master's Thesis, KonKuk Univ., 2019.
- A. K. Sahoo, C. Pradhan, R. K. Barik, and H. Dubey, "DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering," Computation, Vol. 7, No. 2, pp. 1-25, 2019. DOI:10.3390/computation7020025
- H. Larochelle, M. Mandel, R. Pascanu, and Y. Bengio, "Learning Algorithms for the Classification Restricted Boltzmann Machine," Journal of Machine Learning Research, Vol. 13, pp. 643-669, 2012. DOI: 10.5555/2503308.2188407
- D. C. Cirean, U. Meier, L. M. Gambardella, and J. Schmidhuber, "Deep, Big, Simple Neural Nets for Handwritten Digit Recognition," Neural Computing, Vol. 22, No. 12, pp. 3207-3220, 2010. DOI: 10.1162/NECO_a_00052