Assessing web sites quality: A systematic literature review by text and association rules mining

作者：

Highlights：

• Assessing web sites is considered as a Multiple Criteria Decision Making problem (MCDM), with a massive number of criteria; a reduction phase is needed.

• Text mining is applied for this SLR to construct a dataset of criteria.

• Association Rules Mining are used to study interdependencies between criteria and the category of the web site.

摘要

•Assessing web sites is considered as a Multiple Criteria Decision Making problem (MCDM), with a massive number of criteria; a reduction phase is needed.•Text mining is applied for this SLR to construct a dataset of criteria.•Association Rules Mining are used to study interdependencies between criteria and the category of the web site.

论文关键词：Assessing web sites,Multiple criteria decision making,Text mining,Association rules mining,Systematic literature review

论文评审过程：Received 26 December 2015, Revised 19 April 2017, Accepted 16 June 2017, Available online 16 October 2017, Version of Record 16 October 2017.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2017.06.007