作者: Mario Cannataro , Alfredo Cuzzocrea , Andrea Pugliese
DOI:
关键词: Metadata 、 Dynamic data 、 Adaptive hypermedia 、 Theoretical computer science 、 Human–computer interaction 、 Computer science 、 Personalization 、 XML 、 Hypermedia 、 Probabilistic logic 、 Application domain
摘要: Web-based hypermedia systems allow user-driven access to information and services content personalization. Application fields where adaptive could be used are on-line learning, electronic commerce, advertising etc. This paper presents a probabilistic approach for the modelling of Adaptive Hypermedia Systems (AHS). The Domain is modelled along three different adaptivity dimensions: technology (network user’s terminal), behaviour external environment (location, language, sociopolitical issues, etc.). using most promising profile, that “view” over application domain, dynamically assigned user, discrete probability density function. A modular architecture supporting both authoring phase run-time support System also presented. module allows description Domain, dynamic data composition functions, extracting pre-existing multimedia basic from sources. fragments described through XML-based metadata.