Modeling Computer-Mediated User Interactions in Ubiquitous Collaborative Systems

Ubiquitous User Modeling in Recommender Systems

The existing personalization services usually base on proprietary and partial user models. This work attempts at evolving inference-based mediation mechanism that will facilitate integrating user models coming from different sources, such as repositories of other service providers and user's personal devices. This will allow obtaining more information about the users and providing more accurate...

Ubiquitous user modeling

Investigating Dynamic Writing Assessment in a Web 2.0 Asynchronous Collaborative Computer-Mediated Context

This study aims at investigating the effect of dynamic assessment (DA) on L2 writing achievement if applied via blogging as a Web 2.0 tool, as well as examining which pattern of interaction is more conducive to learning in such an environment. The results of the study indicate that using weblogs to provide mediation contributes to the enhancement of the overall writing performance, vocabulary a...

Semantically-Enhanced Ubiquitous User Modeling

Semantically-enhanced Ubiquitous User Modeling aims at the management of distributed user models and the integration into ontologies to share user information amongst adaptive applications for personalization purposes. To reach this goal, different problems have to be solved. The collection of implicit user information by observing the user behavior on dynamic web applications is important to b...

Collaborative user modeling for enhanced content filtering in recommender systems

Recommender systems, which have emerged in response to the problem of information overload, provide users with recommendations of content suited to their needs. To provide proper recommendations to users, personalized recommender systems require accurate user models of characteristics, preferences and needs. In this study, we propose a collaborative approach to user modeling for enhancing perso...