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Università degli studi di Udine
Dipartimento di Matematica e Informatica
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Artificial Intelligence
Laboratory
Intelligent Information Filtering Group
Goals
An information filtering system is located between a document source and a user and is capable of identifying the documents potentially relevant for his/her information needs. An essential aspect of an information filtering system is its ability to represent the user information preferences. The goal of this research group is the analysis and development of information filtering systems which are based on the exploitation of user modeling techniques for the construction and development of a model representing the user information prefrences.
Results
MAIN PUBLICATIONS:
- Minio M. and Tasso C. IFT: una interfaccia intelligente per il filtraggio di informazioni basato su modellizzazione d'utente. Supplemento di AI*IA Notizie, IX(3), 1996, pp. 21-25.
- Minio, M and Tasso, C. User Modeling for Information Filtering on INTERNET Services: Exploiting an Extended Version of the UMT Shell. UM96 Workshop on "User Modeling for Information Filtering on the WWW", Kailua-Kona, Hawaii, USA, January, 2-5, 1996.
- Fabio A. Asnicar, Carlo Tasso, "ifWeb: a Prototype of User Model-Based Intelligent Agent for Document Filtering and Navigation in the World Wide Web"
UM97 Workshop on
"Adaptive Systems and User Modeling on the World Wide Web"
Sixth International Conference on User Modeling, Chia Laguna, Sardinia, 2-5 June 1997.
- Fabio A. Asnicar, Massimo Di Fant, Carlo Tasso, "User Model-Based Information Filtering"
Submitted to "Quinto Congresso della Associazione Italiana per l'Intelligenza Artificiale"
Università di Roma "La Sapienza", 16-19 settembre 1997.
Principal Investigators
Projects
Events
The group will present the results of the IFT project at the specialized workshop on "Adaptive Systems and User Modeling on the World Wide Web", UM97 - Sixth International Conference on User Modeling.
Prototype
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