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

User Modeling and Personalization of Advanced Information Systems

User Modeling and Personalization of Advanced Information Systems
View Sample PDF
Author(s): Liana Razmerita (University of Galati, Romania)
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.ch626


View User Modeling and Personalization of Advanced Information Systems on the publisher's website for pricing and purchasing information.


Enterprise information systems are among the key enablers of the leadership agility on competitive market places and therefore the design of advanced information systems (IS) is a continuous challenge for modern organizations. IS can include knowledge management systems (KMS), customer relationship management solutions, business-to-business applications, e-commerce, e-government or e-learning systems. Advanced IS featuring intelligence have recently implemented as complex applications with modular archi­tecture relying on Web services, Semantic Web technology integrating user modeling, machine learning approaches, and/or agent-based technology. Personalization and more recently contextualization have emerged as key issues for achieving intelligent features in advanced IS. This chapter presents a set of personalization techniques for IS. The second section provides background informa­tion related to personalization of IS, and it proposes a set of personalization mechanisms. In the third section, these personalization mechanisms are exemplified in the context of KMS. The fourth section outlines future work related to personalization of IS. Finally, the fifth section summarizes the main ideas presented in this article.

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