Recommendation system development for fashion retail e-commerce
作者：
Highlights：
• Develop a real-world recommender for a large Korean fashion company.
• Extend item-based CF by reflecting fashion industry-specific characteristics.
• Show time and purchase intention are important in recommending fashion items.
摘要
•Develop a real-world recommender for a large Korean fashion company.•Extend item-based CF by reflecting fashion industry-specific characteristics.•Show time and purchase intention are important in recommending fashion items.
论文关键词：Collaborative filtering,E-commerce,Fashion industry,Recommendation system
论文评审过程：Received 28 December 2016, Revised 24 January 2018, Accepted 24 January 2018, Available online 26 March 2018, Version of Record 26 March 2018.
论文官网地址：https://doi.org/10.1016/j.elerap.2018.01.012
