Hybrid Filtering for a Mobile Knowledge Forum
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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.
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.
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