Hybrid Filtering for a Mobile Knowledge Forum PROCEEDINGS
Fu-Hsiang Wei, Yih-Ruey Juang, Department of Information Management, Jinwen University of Science and Technology, Taiwan, Taiwan
Global Learn, in Penang, Malaysia ISBN 978-1-880094-79-2 Publisher: Association for the Advancement of Computing in Education (AACE)
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.
Wei, F.H. & Juang, Y.R. (2010). Hybrid Filtering for a Mobile Knowledge Forum. In Z. Abas, I. Jung & J. Luca (Eds.), Proceedings of Global Learn Asia Pacific 2010--Global Conference on Learning and Technology (pp. 4156-4161). Penang, Malaysia: Association for the Advancement of Computing in Education (AACE). Retrieved October 23, 2017 from https://www.learntechlib.org/p/34513/.
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