Building Content Clusters Based on Modelling Page Pairs

We give a new view on building content clusters from page pair models. We measure the heuristic importance within every two pages by computing the distance of their accessed positions in usage sessions. We also compare our page pair models with the classical pair models used in information theories and natural language processing, and give different evaluation methods to build the reasonable content communities. And we finally interpret the advantages and disadvantages of our models from detailed experiment results.

• Type: Conference
• Year: 2006
• Where: APWEB
• Authors: Christoph Meinel, Long Wang 0002
• Keywords: APWEB 2006, Classical Pair Models, Internet Technology, Page Pair Models, Pair Models