Collaborative filtering and deep learning based recommendation system for cold start items
作者：
Highlights：
• Two recommendation models were proposed for cold start items.
• The models combine time-aware collaborative filtering and deep learning.
• Experiment on Netflix dataset showed large improvement over existing approaches.
摘要
•Two recommendation models were proposed for cold start items.•The models combine time-aware collaborative filtering and deep learning.•Experiment on Netflix dataset showed large improvement over existing approaches.
论文关键词：Recommendation system,Data mining,Deep learning neural network,Collaborative filtering,Cold start problem
论文评审过程：Received 21 July 2016, Revised 17 September 2016, Accepted 28 September 2016, Available online 14 October 2016, Version of Record 24 October 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.09.040
