Profiling Attitudes for Personalized Information Provision
Authors: 
Yannis Ioannidis
Authors: 
Maria Vayanou
Authors: 
Thodoris Georgiou
Authors: 
Katerina Iatropoulou
Authors: 
Manos Karvounis
Authors: 
Akrivi Katifori
Authors: 
Marialena Kyriakidi
Authors: 
Natalia Manola
Authors: 
Alexandros Mouzakidis
Authors: 
Lefteris Stamatogiannakis
Authors: 
Mei Li Triantafyllidi
Date published: 
2011
Published In: 
IEEE Data Engineering Bulletin, Vol. 34(2), pp. 35-40
Type: 
Journal Article
Abstract: 

PAROS is a generic system under design whose goal is to offer personalization, recommendation, and other adaptation services to information providing systems. In its heart lies a rich user model able to capture several diverse aspects of user behavior, interests, preferences, and other attitudes. The user model is instantiated with profiles of users, which are obtained by analyzing and appropriately interpreting potentially arbitrary pieces of user-relevant information coming from diverse sources. These profiles are maintained by the system, updated incrementally as additional data on users becomes available, and used by a variety of information systems to adapt the functionality to the users’ characteristics.

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