An empirical study on the effect of data sparsity and data overlap on cross domain collaborative filtering performance
作者：
Highlights：
• Suggest various cross-domain collaborative filtering approaches.
• Evaluate them with a large fashion company comprised of three domains.
• Demonstrate the recommendation score-based approach is prominent over others.
摘要
•Suggest various cross-domain collaborative filtering approaches.•Evaluate them with a large fashion company comprised of three domains.•Demonstrate the recommendation score-based approach is prominent over others.
论文关键词：Cross-domain recommender,Collaborative filtering,E-commerce application,Data sparsity
论文评审过程：Received 11 February 2017, Revised 23 July 2017, Accepted 25 July 2017, Available online 25 July 2017, Version of Record 1 August 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.041
