Contextual preference mining for user profile construction
作者：
Highlights：
• We propose a new method for mining user profiles from preference databases.
• Our method is the first one based on pattern mining techniques.
• It builds readable user profile based on the notion of contextual preference rules.
• Three ranking techniques are proposed to rank objects according to a user profile.
• A set of experiments on a real-world database showed the efficiency of the method.
摘要
Highlights•We propose a new method for mining user profiles from preference databases.•Our method is the first one based on pattern mining techniques.•It builds readable user profile based on the notion of contextual preference rules.•Three ranking techniques are proposed to rank objects according to a user profile.•A set of experiments on a real-world database showed the efficiency of the method.
论文关键词：Pattern mining,Preference elicitation,Contextual preference rule,User profile mining
论文评审过程：Received 5 February 2014, Revised 13 November 2014, Accepted 22 November 2014, Available online 3 December 2014.
论文官网地址：https://doi.org/10.1016/j.is.2014.11.009
