Mining Web Usage and Content Structure Data to Improve Web Cache Performance in Content Aggregation Systems
Web cache performance has been reduced in Web 2.0 applications due to the increase of the content update rates and the higher number of personalized web pages. This problem can be minimized by the caching of content fragments instead of complete web pages. The authors propose a classification algorithm to define the fragment design that experiences the best performance. To create the algorithm, they have mined data of content characterization, user behaviour and performance. They have obtained two classification tree as result of this process. These classification trees are used to determine the fragment design.