Title :
PENS: a personalized electronic news system
Author :
Nadjarbashi-Noghani, Mehran ; Zhang, Jie ; Sadat, K.M.H. ; Ghorbani, Ali A.
Author_Institution :
Fac. of Comput. Sci., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
A framework has been developed as a basis for design and implementation of adaptive Web systems. This framework and the respective architecture support the idea of high-level synthesis and facilitate different types of adaptation. In this paper, we describe main components in the framework, and introduce an example application from e-News domain, a personalized electronic news system (PENS). PENS is implemented as the proof of concept and to demonstrate how Web pages are synthesized with different attributes from the same description, and to show adaptation based on users´ behavior and client-side characteristics.
Keywords :
Web sites; adaptive systems; electronic news gathering; high level synthesis; search engines; PENS; Web information management; adaptive Web system; automated high-level synthesis; client-side characteristics; e-News domain; personalized electronic news system; Adaptive systems; Computer architecture; Computer science; High level synthesis; Information management; Navigation; Niobium; Runtime; Web pages; Web sites; Adaptive Web Systems; Automated High-level Synthesis; E-News; Web Information Management;
Conference_Titel :
Communication Networks and Services Research Conference, 2005. Proceedings of the 3rd Annual
Print_ISBN :
0-7695-2333-1
DOI :
10.1109/CNSR.2005.49
