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Published in:
2006 | OriginalPaper | Chapter
An Algorithmic Framework for Adaptive Web Content
Authors : Christos Makris, Yannis Panagis, Evangelos Sakkopoulos, Athanasios Tsakalidis
Published in: Adaptive and Personalized Semantic Web
Publisher: Springer Berlin Heidelberg
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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.