Digital Content Personalization Adaptation and Its Derivation

This work aims to adapt the page author's (creator's) intentions about his/her Web data and its link structure to personalized Web data. In our ActiveWeb, the view of web page is changed according to each user's browsing situation including his time, location, and access history as well as aggregated information about the access histories of all users. This is a metadata approach to Web Dynamics. We regard profile data of the author's intentions as metadata that is represented in a declarative, rule-based formalism.

Dr. Hidenari Kiyomitsu is an Associate Professor of the Faculty of Cross-Cultural Studies, Kobe University. His research interests include web personalization and adaptation, information navigation models, multimedia information datamodels.