Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo website and to adapt it

作者：

Highlights：

• We designed a new general and non-invasive web mining system.

• It uses the minimum information stored in a web server: logs and content.

• We combine Web Usage and Web Content mining techniques with satisfactory results.

• User profiles are accurate: precision reaches 90.9% and tourism agents validated them.

摘要

•We designed a new general and non-invasive web mining system.•It uses the minimum information stored in a web server: logs and content.•We combine Web Usage and Web Content mining techniques with satisfactory results.•User profiles are accurate: precision reaches 90.9% and tourism agents validated them.

论文关键词：Bidasoa tourism website,Web usage mining,Web content mining,Web user profiling,Clustering,Frequent pattern mining,Topic modelling

论文评审过程：Available online 19 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.040