Title :
Adaptive User Profiling in Enhancing RSS-based Information Services
Author :
Zeng, Limin ; Zhang, Yong ; Qiu, Robin G., Sr.
Author_Institution :
Postgraduate student, College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, 232, 29 YuDao St., Nanjing 210016, P. R. China, email: liminzeng@nuaa.edu.cn
Abstract :
Although there are many web-based information service systems available, it is still not an easy job in navigating through the Internet to get the needed information service in a timely manner. This paper investigates a practical approach to deploying just-in-time assistive information services on the Internet. As a preliminary exploration, the RSS technology is used to assure that the information service is up-to-date. When combined with one-time Rocchio feedback and many-times Rocchio feedback, information services can be well filtered and aggregated to meet the needs of personalization, and become more just-in-time assistive. A prototyped news service system is built to validate the applicability of the proposed methodology.
Keywords :
Educational institutions; Feedback; Feeds; Information filtering; Information filters; Information science; Navigation; Prototypes; Space technology; Web and internet services; Concept drift; Content filtering; RSS; Rocchio; User profile;
Conference_Titel :
Service Operations and Logistics, and Informatics, 2007. SOLI 2007. IEEE International Conference on
Conference_Location :
Philadelphia, PA, USA
Print_ISBN :
978-1-4244-1118-4
Electronic_ISBN :
978-1-4244-1118-4
DOI :
10.1109/SOLI.2007.4383915