Abstract: In this work a twofold algorithmic framework for the adaptation of web content to the users ’ choices is presented. The main merits discussed are a) an optimal offline site adaptation – reorganization approach, which is based on a set of different popularity metrics and, additionally, b) an online personalization mechanism to emerge the most “hot ” (popular and recent) site subgraphs in a recommendation list adaptive to the users ’ individual preferences. 

Athanasios Tsakalidis