Deep Learning Based-Recommendation System-Reference-Cited by-同舟云学术

Deep Learning Based-Recommendation System

Published:2019-11-23 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 2nd International Conference on Computational Intelligence and Intelligent Systems
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Author:

Ong Kyle¹,Haw Su-Cheng¹,Ng Kok-Why¹

Affiliation:

1. Multimedia University, Cyberjaya, Selangor, Malaysia

Publisher

ACM

Reference18 articles.

1. Fu M. Qu H. Yi Z. Lu L. and Liu Y. 2018. A novel deep learning-based collaborative filtering model for recommendation system. IEEE transactions on cybernetics. 49 3 (2018) 1084--1096. Fu M. Qu H. Yi Z. Lu L. and Liu Y. 2018. A novel deep learning-based collaborative filtering model for recommendation system. IEEE transactions on cybernetics. 49 3 (2018) 1084--1096.

2. Huang Z. Yu C. Ni J. Liu H. Zeng C. and Tang Y. 2019. An Efficient Hybrid Recommendation Model with Deep Neural Networks. IEEE Access. (2019). Huang Z. Yu C. Ni J. Liu H. Zeng C. and Tang Y. 2019. An Efficient Hybrid Recommendation Model with Deep Neural Networks. IEEE Access. (2019).

3. Katzman J.L. Shaham U. Cloninger A. Bates J. Jiang T. and Kluger Y. 2018. DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC medical research methodology. 18 1 (2018) 24. Katzman J.L. Shaham U. Cloninger A. Bates J. Jiang T. and Kluger Y. 2018. DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC medical research methodology. 18 1 (2018) 24.

4. Collaborative Additional Variational Autoencoder for Top-N Recommender Systems

5. 2018. A multi-modality deep network for cold-start recommendation;Sun M.;Big Data and Cognitive Computing.,2018

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