Implicit search feature based approach to assist users in exploratory search tasks
作者：
Highlights：
• We propose a framework for evaluating exploratory search using implicit features.
• User search action sequences are also used to find behavior patterns.
• Show effectiveness with above 70% prediction accuracy for user search performance.
• Provide search process based recommendation to assist underperforming users.
• Demonstrate recommendation effectiveness both qualitatively and quantitatively.
摘要
•We propose a framework for evaluating exploratory search using implicit features.•User search action sequences are also used to find behavior patterns.•Show effectiveness with above 70% prediction accuracy for user search performance.•Provide search process based recommendation to assist underperforming users.•Demonstrate recommendation effectiveness both qualitatively and quantitatively.
论文关键词：Exploratory search,Evaluation,User behavior,Implicit features
论文评审过程：Received 5 December 2014, Revised 26 May 2015, Accepted 1 June 2015, Available online 18 June 2015, Version of Record 18 June 2015.
论文官网地址：https://doi.org/10.1016/j.ipm.2015.06.004
