A. Carbonaro, L. Colazzo, and A. Molinari (Italy)
Distance learning system, personalization, collaborative recommendation system.
In this paper we introduce an update of our work about developing a distance learning environment based on a collaborative bookmark management system. We introduce EasyInfo, an hybrid recommender architecture extension, which processes resources in order to extract concepts using semantic capabilities. Thanks to its resource sharing and recommendation facilities, the system contributes to human collaborative activities: it supports group collaboration among people involved in a task, independently from time and space distance, and learns from positive and negative experiences in group practice.
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