Skip navigation

Home | About | Contact

Digital Library > Conference Papers > Global Learn > Volume 2010, Issue 1 >
Login or register for free to remove ads.

Hybrid Filtering for a Mobile Knowledge Forum

New Search
New Search
Print Abstract
Print Abstract
E-mail Abstract
E-mail Abstract
Full Text
Full Text
Add To Collection
Save to My Collections
Export Citation
Export Citation

Wei, F.H. & Juang, Y.R. (2010). Hybrid Filtering for a Mobile Knowledge Forum. In Z. Abas et al. (Eds.), Proceedings of Global Learn 2010 (pp. 4156-4161). AACE.
Retrieved from http://www.editlib.org/p/34513.

OpenURL Link

Conference Information

GLEARN

Global Learn (Global Learn) 2010
Penang, Malaysia
May 17, 2010
ISBN 1-880094-79-7
  Zoraini Wati Abas, Insung Jung & Joseph Luca
AACE

More Information on Global Learn

Table of Contents


Authors

Fu-Hsiang Wei, Yih-Ruey Juang, Department of Information Management, Jinwen University of Science and Technology, Taiwan, Taiwan

Abstract

Most web forums simply support text-based environment and appear same contents for all students without considering their individual learning status, which are not applicable to mobile learning. Developing a mobile discussion forum for learners by mobile phones equipped with voice/text when studying related activities anytime and anywhere is crucial to facilitating knowledge sharing. However, the form factors of mobile phones, such as limited screen and input, strongly impact on the accessibility of text and voice. To address the usability problem, tailoring content to user’s individual interest has the potential to significantly reduce the amount and cost of data transmitted. Thus, the personalization will therefore be of paramount importance for ubiquitous information access applications. The work provides students with personalized view of mobile knowledge forum according to preference-based mechanism, short-term rule-based filtering and long-term item-based collaborative filtering which based on student model derived from web portfolio assessments.

Also Read

Tags

Comments & Discussion

Comment on the paper above. You must be registered to participate. Registration is free.




Feedback and Suggestions please email info@editlib.org.