PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Avancini H., Candela L., Straccia U. Recommenders in a personalized, collaborative digital library environment. In: Journal of Intelligent Information Systems, vol. 28 (3) pp. 253 - 283. Springer Netherlands, 2007.
 
 
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 which provides advanced features of collaborative work among the users. It is up to the system to discover interesting properties about the users' interests, relationships between users and user communities and to make recommendations based on preference patterns of the users, which is the main topic of this paper.
URL: http://springerlink.metapress.com/content/vk8468820776h218/fulltext.pdf
DOI: 10.1007/s10844-006-0010-3
Subject Recommender Systems
H.3.3 Information Search and Retrieval


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional