Abstract
This study implements co-interest recommending service embedded in ePortfolio for managing and sharing reader reading book experience from library records. We also propose five hypotheses based on proposed research model. Two hundred eleven Taiwanese graduate and undergraduate students participated in this research. The experimental results have shown that five hypotheses were supported.
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Acknowledgments
This work is supported by National Science Council, Taiwan under grants NSC 101-2511-S-146 -001.
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Huang, YQ., Huang, CH., Yang, JH., Sung, TW. (2014). A Study of the Reader Recommendation Service Based on Learning Commons for Satisfaction of ePortfolio Users. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_32
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DOI: https://doi.org/10.1007/978-94-007-7262-5_32
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