PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Avancini H., Candela L., Straccia U. Recommenders in a Personalized, Collaborative Digital Library Environment. The document will be submitted to Journal:, Technical report, 2004.
 
 
Abstract
(English)
We envisage an information source not only as an information resource where users may submit queries to satisfy their daily information need, but also as a collaborative working and meeting space of people sharing common interests. Indeed, we will present a highly personalized environment where not only users may organize (and search into) the information space according to their individual taste and use, but provides advanced features of collaborative work among the users. It is up then to the system to discover interesting properties about the users' interests, relationship between users and user communities and to make recommendations based on preference patterns of the users, which is the main topic of this paper.
Subject Digital library, collaboration, personalization, recommendation
H.3.2 Information Search and Retrieval . Information filtering
H.3.4 Systems and Software . User profiles and alert services


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