Context preserving navigation redesign under Markovian assumption for responsive websites
作者：
Highlights：
• We model users’ navigation behavior as a Markov process and represent it using a transition probability matrix.
• We define a metric called implied deviation to measure contextual relevance from designer’s perspective.
• Propose deviation minimization framework to improve the contextual relevance from user as well as designer point of views.
• We provide note to practitioner which can help them identify potential of proposed framework better.
• Proposed framework is applied to two real access log data sets from a university examination website.
摘要
•We model users’ navigation behavior as a Markov process and represent it using a transition probability matrix.•We define a metric called implied deviation to measure contextual relevance from designer’s perspective.•Propose deviation minimization framework to improve the contextual relevance from user as well as designer point of views.•We provide note to practitioner which can help them identify potential of proposed framework better.•Proposed framework is applied to two real access log data sets from a university examination website.
论文关键词：Click-stream data,Contextual relevance,Implied deviation,Markov process,Meta-heuristics,Minimum derived out-degree,Mobile Internet,Responsive web design,Website effectiveness
论文评审过程：Received 15 June 2016, Revised 23 December 2016, Accepted 23 December 2016, Available online 26 December 2016, Version of Record 10 January 2017.
论文官网地址：https://doi.org/10.1016/j.elerap.2016.12.003
