Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

User Profile Modeling and Learning

User Profile Modeling and Learning
View Sample PDF
Author(s): Evangelia Nidelkou (Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece), Vasileios Papastathis (Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece) and Maria Papadogiorgaki (Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece)
Copyright: 2009
Pages: 6
Source title: Encyclopedia of Information Science and Technology, Second Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-60566-026-4.ch627


View User Profile Modeling and Learning on the publisher's website for pricing and purchasing information.


A major theme of Information Science and Technology research is the study of personalization. The key issue of personalization is the problem of understanding human behaviour and its simulation by machines, in a sense that machines can treat users as individuals with respect to their distinct personalities, preferences, goals and so forth. The general fields of research in personalization are user modeling and adaptive systems, which can be traced back to the late 70s, with the use of models of agents by Perrault, Allen, and Cohen (1978) and the introduction of stereotypes by Rich (1979). With the wide progress in hardware and telecom­munications technologies that has led to a vast increase in the services, volume and multimodality (text and multimedia) of content, in the last decade, the need for personalization systems is critical, in order to enable both consumers to manage the volume and complexity of available information and vendors to be competitive in the market.

Related Content

Christine Kosmopoulos. © 2022. 22 pages.
Melkamu Beyene, Solomon Mekonnen Tekle, Daniel Gelaw Alemneh. © 2022. 21 pages.
Rajkumari Sofia Devi, Ch. Ibohal Singh. © 2022. 21 pages.
Ida Fajar Priyanto. © 2022. 16 pages.
Murtala Ismail Adakawa. © 2022. 27 pages.
Shimelis Getu Assefa. © 2022. 17 pages.
Angela Y. Ford, Daniel Gelaw Alemneh. © 2022. 22 pages.
Body Bottom