User identification for enhancing IP-TV recommendation
作者：
Highlights：
• In contrast with group recommendation which recommends items for groups of people, this approach provides recommendations for members.
• The user identification problem is studied as clustering periodical temporal habits and combination of similar activities in each account.
• Experimental results show that the proposed algorithm gives substantially better results than previous approaches.
摘要
•In contrast with group recommendation which recommends items for groups of people, this approach provides recommendations for members.•The user identification problem is studied as clustering periodical temporal habits and combination of similar activities in each account.•Experimental results show that the proposed algorithm gives substantially better results than previous approaches.
论文关键词：User identification,Shared account,IP-TV recommendation
论文评审过程：Received 9 May 2015, Revised 10 December 2015, Accepted 14 January 2016, Available online 10 February 2016, Version of Record 9 March 2016.
论文官网地址：https://doi.org/10.1016/j.knosys.2016.01.018
